Mixing
add straight lines to parity plot
1
I have the following figure in LaTeX:
And I want to add the error lines (+5%, 0% and -5%) present in the following figure:
Can anyone help me please?
My MWE is:
documentclass[11pt,paper=a4,BCOR=15mm,bibliography=totoc,DIV=9,final,headings=optiontohead,
listof=chaptergapsmall,listof=totoc,numbers=noenddot,openright,parskip=half,titlepage,twoside,]{scrreprt}
usepackage[ngerman,english,]{babel}
usepackage[onehalfspacing]{setspace}
usepackage{graphicx}
usepackage{tikz,pgfplots}
usetikzlibrary{intersections, calc}
usepgfplotslibrary{units}
begin{document}
begin{figure}[h!]
centering
begin{tikzpicture}[scale=1.23]
begin{axis}[scatter/classes={
a={mark=square*,blue},%
b={mark=triangle*,red},%
c={mark=o,draw=black}},
%enlargelimits=0.05,
xmax=0.8,
]
% addplot is better than addplot+ here:
% it avoids scalings of the cycle list
% draw (0,0) -- (1,1);
addplot[scatter,only marks,
scatter src=explicit symbolic]
%coordinates {
table[meta=label] {
x y label
0.002112423 0.000315235 a
0.008239025 0.018046369 a
0.062159889 0.043377048 a
0.208436752 0.228901981 a
0.001133101 0.000154947 a
0.040467529 0.027339084 a
0.089692556 0.064237734 a
0.28676767 0.31508994 a
0.002850088 0.000642276 a
0.021743629 0.024458691 a
0.079502818 0.057741852 a
0.254297655 0.287565373 a
0.000380747 0.000164715 a
0.032442275 0.030100629 a
0.094151846 0.069629312 a
0.294738866 0.324776721 a
0.00304861 0.000381536 a
0.019427897 0.020999092 a
0.062143477 0.048076131 a
0.194015639 0.216910177 a
0.003349286 0.000441544 a
0.020499155 0.022771878 a
0.067614017 0.051923091 a
0.207662339 0.231218823 a
0.003266332 0.00034481 a
0.035174329 0.026984827 a
0.081134664 0.060966461 a
0.244687574 0.263579365 a
0.003885047 0.000548398 a
0.026061176 0.02816921 a
0.083494892 0.064074034 a
0.254794902 0.283107698 a
0.00319197 0.00052752 a
0.026602327 0.02220633 a
0.069674766 0.050513108 a
0.207840599 0.223222373 a
0.012393 0.017580388 b
0.033038 0.080750236 b
0.015539 0.000107785 b
0.012579 0.054686291 b
0.102741 0.099809908 b
0.66043 0.643811883 b
0.16328 0.103253509 b
0.004 0.002069047 b
0.0084 0.028962671 b
0.0043 0.000156147 b
0.003 0.020684598 b
0.0978 0.106905039 b
0.7013 0.714270297 b
0.1812 0.126952202 b
0.0091 0.015147325 b
0.0297 0.077014777 b
0.0171 0.000147157 b
0.0091 0.056200871 b
0.0982 0.099332905 b
0.6678 0.633262363 b
0.169 0.118894602 b
0.0045 0.000940978 b
0.01 0.01989367 b
0.0073 0.000192736 b
0.0027 0.014700027 b
0.1102 0.10791124 b
0.688 0.715603802 b
0.1773 0.140757548 b
0.0092 0.017839841 b
0.0299 0.075399115 b
0.015 0.000180757 b
0.0115 0.055440993 b
0.0996 0.093268175 b
0.6664 0.631287207 b
0.1684 0.126583912 b
0.0138 0.022462525 b
0.036 0.082664867 b
0.0165 0.000171887 b
0.0144 0.05990831 b
0.0968 0.09266199 b
0.6564 0.618675107 b
0.1661 0.123455313 b
0.0136 0.013257438 b
0.0316 0.063599076 b
0.0145 0.000197003 b
0.0125 0.046716642 b
0.1001 0.09503671 b
0.6503 0.647679584 b
0.1774 0.133513547 b
0.0127 0.016519353 b
0.0302 0.072784494 b
0.0142 0.000194035 b
0.0118 0.054135158 b
0.1024 0.093932615 b
0.6565 0.63106802 b
0.1722 0.131366325 b
0.013 0.016654323 b
0.0336 0.073114749 b
0.0154 0.000194379 b
0.0136 0.055035497 b
0.0924 0.09886295 b
0.6443 0.619629408 b
0.1877 0.136508694 b
0.024 0.006083101 c
0.223 0.18314527 c
0.59 0.606819403 c
0.163 0.146526013 c
0.024 0.007344733 c
0.223 0.196607483 c
0.59 0.584792817 c
0.163 0.144862825 c
0.024 0.007817225 c
0.223 0.20413853 c
0.59 0.582885899 c
0.163 0.142905491 c
0.024 0.008610924 c
0.223 0.208141813 c
0.59 0.569981623 c
0.163 0.143373566 c
0.024 0.00897616 c
0.223 0.207996045 c
0.59 0.565291614 c
0.163 0.144368047 c
0.024 0.008844303 c
0.223 0.205857591 c
0.59 0.570027159 c
0.163 0.144996868 c
0.024 0.009433456 c
0.223 0.210055677 c
0.59 0.562714293 c
0.163 0.144459927 c
0.024 0.009496595 c
0.223 0.212698833 c
0.59 0.560711551 c
0.163 0.14351753 c
0.024 0.010050341 c
0.223 0.219992169 c
0.59 0.567247848 c
0.163 0.141241314 c
};
end{axis}
end{tikzpicture}
caption{Nice caption}
label{fig:selectivity2}
end{figure}
end{document}
tikz-pgf pgfplots
edited Jan 18 at 7:13
Stefan Pinnow
20.1k83276
asked Jan 17 at 20:59
user151562user151562
26018
add a comment |
1
I have the following figure in LaTeX:
And I want to add the error lines (+5%, 0% and -5%) present in the following figure:
Can anyone help me please?
My MWE is:
documentclass[11pt,paper=a4,BCOR=15mm,bibliography=totoc,DIV=9,final,headings=optiontohead,
listof=chaptergapsmall,listof=totoc,numbers=noenddot,openright,parskip=half,titlepage,twoside,]{scrreprt}
usepackage[ngerman,english,]{babel}
usepackage[onehalfspacing]{setspace}
usepackage{graphicx}
usepackage{tikz,pgfplots}
usetikzlibrary{intersections, calc}
usepgfplotslibrary{units}
begin{document}
begin{figure}[h!]
centering
begin{tikzpicture}[scale=1.23]
begin{axis}[scatter/classes={
a={mark=square*,blue},%
b={mark=triangle*,red},%
c={mark=o,draw=black}},
%enlargelimits=0.05,
xmax=0.8,
]
% addplot is better than addplot+ here:
% it avoids scalings of the cycle list
% draw (0,0) -- (1,1);
addplot[scatter,only marks,
scatter src=explicit symbolic]
%coordinates {
table[meta=label] {
x y label
0.002112423 0.000315235 a
0.008239025 0.018046369 a
0.062159889 0.043377048 a
0.208436752 0.228901981 a
0.001133101 0.000154947 a
0.040467529 0.027339084 a
0.089692556 0.064237734 a
0.28676767 0.31508994 a
0.002850088 0.000642276 a
0.021743629 0.024458691 a
0.079502818 0.057741852 a
0.254297655 0.287565373 a
0.000380747 0.000164715 a
0.032442275 0.030100629 a
0.094151846 0.069629312 a
0.294738866 0.324776721 a
0.00304861 0.000381536 a
0.019427897 0.020999092 a
0.062143477 0.048076131 a
0.194015639 0.216910177 a
0.003349286 0.000441544 a
0.020499155 0.022771878 a
0.067614017 0.051923091 a
0.207662339 0.231218823 a
0.003266332 0.00034481 a
0.035174329 0.026984827 a
0.081134664 0.060966461 a
0.244687574 0.263579365 a
0.003885047 0.000548398 a
0.026061176 0.02816921 a
0.083494892 0.064074034 a
0.254794902 0.283107698 a
0.00319197 0.00052752 a
0.026602327 0.02220633 a
0.069674766 0.050513108 a
0.207840599 0.223222373 a
0.012393 0.017580388 b
0.033038 0.080750236 b
0.015539 0.000107785 b
0.012579 0.054686291 b
0.102741 0.099809908 b
0.66043 0.643811883 b
0.16328 0.103253509 b
0.004 0.002069047 b
0.0084 0.028962671 b
0.0043 0.000156147 b
0.003 0.020684598 b
0.0978 0.106905039 b
0.7013 0.714270297 b
0.1812 0.126952202 b
0.0091 0.015147325 b
0.0297 0.077014777 b
0.0171 0.000147157 b
0.0091 0.056200871 b
0.0982 0.099332905 b
0.6678 0.633262363 b
0.169 0.118894602 b
0.0045 0.000940978 b
0.01 0.01989367 b
0.0073 0.000192736 b
0.0027 0.014700027 b
0.1102 0.10791124 b
0.688 0.715603802 b
0.1773 0.140757548 b
0.0092 0.017839841 b
0.0299 0.075399115 b
0.015 0.000180757 b
0.0115 0.055440993 b
0.0996 0.093268175 b
0.6664 0.631287207 b
0.1684 0.126583912 b
0.0138 0.022462525 b
0.036 0.082664867 b
0.0165 0.000171887 b
0.0144 0.05990831 b
0.0968 0.09266199 b
0.6564 0.618675107 b
0.1661 0.123455313 b
0.0136 0.013257438 b
0.0316 0.063599076 b
0.0145 0.000197003 b
0.0125 0.046716642 b
0.1001 0.09503671 b
0.6503 0.647679584 b
0.1774 0.133513547 b
0.0127 0.016519353 b
0.0302 0.072784494 b
0.0142 0.000194035 b
0.0118 0.054135158 b
0.1024 0.093932615 b
0.6565 0.63106802 b
0.1722 0.131366325 b
0.013 0.016654323 b
0.0336 0.073114749 b
0.0154 0.000194379 b
0.0136 0.055035497 b
0.0924 0.09886295 b
0.6443 0.619629408 b
0.1877 0.136508694 b
0.024 0.006083101 c
0.223 0.18314527 c
0.59 0.606819403 c
0.163 0.146526013 c
0.024 0.007344733 c
0.223 0.196607483 c
0.59 0.584792817 c
0.163 0.144862825 c
0.024 0.007817225 c
0.223 0.20413853 c
0.59 0.582885899 c
0.163 0.142905491 c
0.024 0.008610924 c
0.223 0.208141813 c
0.59 0.569981623 c
0.163 0.143373566 c
0.024 0.00897616 c
0.223 0.207996045 c
0.59 0.565291614 c
0.163 0.144368047 c
0.024 0.008844303 c
0.223 0.205857591 c
0.59 0.570027159 c
0.163 0.144996868 c
0.024 0.009433456 c
0.223 0.210055677 c
0.59 0.562714293 c
0.163 0.144459927 c
0.024 0.009496595 c
0.223 0.212698833 c
0.59 0.560711551 c
0.163 0.14351753 c
0.024 0.010050341 c
0.223 0.219992169 c
0.59 0.567247848 c
0.163 0.141241314 c
};
end{axis}
end{tikzpicture}
caption{Nice caption}
label{fig:selectivity2}
end{figure}
end{document}
tikz-pgf pgfplots
edited Jan 18 at 7:13
Stefan Pinnow
20.1k83276
asked Jan 17 at 20:59
user151562user151562
26018
add a comment |
1
1
1
I have the following figure in LaTeX:
And I want to add the error lines (+5%, 0% and -5%) present in the following figure:
Can anyone help me please?
My MWE is:
documentclass[11pt,paper=a4,BCOR=15mm,bibliography=totoc,DIV=9,final,headings=optiontohead,
listof=chaptergapsmall,listof=totoc,numbers=noenddot,openright,parskip=half,titlepage,twoside,]{scrreprt}
usepackage[ngerman,english,]{babel}
usepackage[onehalfspacing]{setspace}
usepackage{graphicx}
usepackage{tikz,pgfplots}
usetikzlibrary{intersections, calc}
usepgfplotslibrary{units}
begin{document}
begin{figure}[h!]
centering
begin{tikzpicture}[scale=1.23]
begin{axis}[scatter/classes={
a={mark=square*,blue},%
b={mark=triangle*,red},%
c={mark=o,draw=black}},
%enlargelimits=0.05,
xmax=0.8,
]
% addplot is better than addplot+ here:
% it avoids scalings of the cycle list
% draw (0,0) -- (1,1);
addplot[scatter,only marks,
scatter src=explicit symbolic]
%coordinates {
table[meta=label] {
x y label
0.002112423 0.000315235 a
0.008239025 0.018046369 a
0.062159889 0.043377048 a
0.208436752 0.228901981 a
0.001133101 0.000154947 a
0.040467529 0.027339084 a
0.089692556 0.064237734 a
0.28676767 0.31508994 a
0.002850088 0.000642276 a
0.021743629 0.024458691 a
0.079502818 0.057741852 a
0.254297655 0.287565373 a
0.000380747 0.000164715 a
0.032442275 0.030100629 a
0.094151846 0.069629312 a
0.294738866 0.324776721 a
0.00304861 0.000381536 a
0.019427897 0.020999092 a
0.062143477 0.048076131 a
0.194015639 0.216910177 a
0.003349286 0.000441544 a
0.020499155 0.022771878 a
0.067614017 0.051923091 a
0.207662339 0.231218823 a
0.003266332 0.00034481 a
0.035174329 0.026984827 a
0.081134664 0.060966461 a
0.244687574 0.263579365 a
0.003885047 0.000548398 a
0.026061176 0.02816921 a
0.083494892 0.064074034 a
0.254794902 0.283107698 a
0.00319197 0.00052752 a
0.026602327 0.02220633 a
0.069674766 0.050513108 a
0.207840599 0.223222373 a
0.012393 0.017580388 b
0.033038 0.080750236 b
0.015539 0.000107785 b
0.012579 0.054686291 b
0.102741 0.099809908 b
0.66043 0.643811883 b
0.16328 0.103253509 b
0.004 0.002069047 b
0.0084 0.028962671 b
0.0043 0.000156147 b
0.003 0.020684598 b
0.0978 0.106905039 b
0.7013 0.714270297 b
0.1812 0.126952202 b
0.0091 0.015147325 b
0.0297 0.077014777 b
0.0171 0.000147157 b
0.0091 0.056200871 b
0.0982 0.099332905 b
0.6678 0.633262363 b
0.169 0.118894602 b
0.0045 0.000940978 b
0.01 0.01989367 b
0.0073 0.000192736 b
0.0027 0.014700027 b
0.1102 0.10791124 b
0.688 0.715603802 b
0.1773 0.140757548 b
0.0092 0.017839841 b
0.0299 0.075399115 b
0.015 0.000180757 b
0.0115 0.055440993 b
0.0996 0.093268175 b
0.6664 0.631287207 b
0.1684 0.126583912 b
0.0138 0.022462525 b
0.036 0.082664867 b
0.0165 0.000171887 b
0.0144 0.05990831 b
0.0968 0.09266199 b
0.6564 0.618675107 b
0.1661 0.123455313 b
0.0136 0.013257438 b
0.0316 0.063599076 b
0.0145 0.000197003 b
0.0125 0.046716642 b
0.1001 0.09503671 b
0.6503 0.647679584 b
0.1774 0.133513547 b
0.0127 0.016519353 b
0.0302 0.072784494 b
0.0142 0.000194035 b
0.0118 0.054135158 b
0.1024 0.093932615 b
0.6565 0.63106802 b
0.1722 0.131366325 b
0.013 0.016654323 b
0.0336 0.073114749 b
0.0154 0.000194379 b
0.0136 0.055035497 b
0.0924 0.09886295 b
0.6443 0.619629408 b
0.1877 0.136508694 b
0.024 0.006083101 c
0.223 0.18314527 c
0.59 0.606819403 c
0.163 0.146526013 c
0.024 0.007344733 c
0.223 0.196607483 c
0.59 0.584792817 c
0.163 0.144862825 c
0.024 0.007817225 c
0.223 0.20413853 c
0.59 0.582885899 c
0.163 0.142905491 c
0.024 0.008610924 c
0.223 0.208141813 c
0.59 0.569981623 c
0.163 0.143373566 c
0.024 0.00897616 c
0.223 0.207996045 c
0.59 0.565291614 c
0.163 0.144368047 c
0.024 0.008844303 c
0.223 0.205857591 c
0.59 0.570027159 c
0.163 0.144996868 c
0.024 0.009433456 c
0.223 0.210055677 c
0.59 0.562714293 c
0.163 0.144459927 c
0.024 0.009496595 c
0.223 0.212698833 c
0.59 0.560711551 c
0.163 0.14351753 c
0.024 0.010050341 c
0.223 0.219992169 c
0.59 0.567247848 c
0.163 0.141241314 c
};
end{axis}
end{tikzpicture}
caption{Nice caption}
label{fig:selectivity2}
end{figure}
end{document}
tikz-pgf pgfplots
edited Jan 18 at 7:13
Stefan Pinnow
20.1k83276
asked Jan 17 at 20:59
user151562user151562
26018
I have the following figure in LaTeX:
And I want to add the error lines (+5%, 0% and -5%) present in the following figure:
Can anyone help me please?
My MWE is:
documentclass[11pt,paper=a4,BCOR=15mm,bibliography=totoc,DIV=9,final,headings=optiontohead,
listof=chaptergapsmall,listof=totoc,numbers=noenddot,openright,parskip=half,titlepage,twoside,]{scrreprt}
usepackage[ngerman,english,]{babel}
usepackage[onehalfspacing]{setspace}
usepackage{graphicx}
usepackage{tikz,pgfplots}
usetikzlibrary{intersections, calc}
usepgfplotslibrary{units}
begin{document}
begin{figure}[h!]
centering
begin{tikzpicture}[scale=1.23]
begin{axis}[scatter/classes={
a={mark=square*,blue},%
b={mark=triangle*,red},%
c={mark=o,draw=black}},
%enlargelimits=0.05,
xmax=0.8,
]
% addplot is better than addplot+ here:
% it avoids scalings of the cycle list
% draw (0,0) -- (1,1);
addplot[scatter,only marks,
scatter src=explicit symbolic]
%coordinates {
table[meta=label] {
x y label
0.002112423 0.000315235 a
0.008239025 0.018046369 a
0.062159889 0.043377048 a
0.208436752 0.228901981 a
0.001133101 0.000154947 a
0.040467529 0.027339084 a
0.089692556 0.064237734 a
0.28676767 0.31508994 a
0.002850088 0.000642276 a
0.021743629 0.024458691 a
0.079502818 0.057741852 a
0.254297655 0.287565373 a
0.000380747 0.000164715 a
0.032442275 0.030100629 a
0.094151846 0.069629312 a
0.294738866 0.324776721 a
0.00304861 0.000381536 a
0.019427897 0.020999092 a
0.062143477 0.048076131 a
0.194015639 0.216910177 a
0.003349286 0.000441544 a
0.020499155 0.022771878 a
0.067614017 0.051923091 a
0.207662339 0.231218823 a
0.003266332 0.00034481 a
0.035174329 0.026984827 a
0.081134664 0.060966461 a
0.244687574 0.263579365 a
0.003885047 0.000548398 a
0.026061176 0.02816921 a
0.083494892 0.064074034 a
0.254794902 0.283107698 a
0.00319197 0.00052752 a
0.026602327 0.02220633 a
0.069674766 0.050513108 a
0.207840599 0.223222373 a
0.012393 0.017580388 b
0.033038 0.080750236 b
0.015539 0.000107785 b
0.012579 0.054686291 b
0.102741 0.099809908 b
0.66043 0.643811883 b
0.16328 0.103253509 b
0.004 0.002069047 b
0.0084 0.028962671 b
0.0043 0.000156147 b
0.003 0.020684598 b
0.0978 0.106905039 b
0.7013 0.714270297 b
0.1812 0.126952202 b
0.0091 0.015147325 b
0.0297 0.077014777 b
0.0171 0.000147157 b
0.0091 0.056200871 b
0.0982 0.099332905 b
0.6678 0.633262363 b
0.169 0.118894602 b
0.0045 0.000940978 b
0.01 0.01989367 b
0.0073 0.000192736 b
0.0027 0.014700027 b
0.1102 0.10791124 b
0.688 0.715603802 b
0.1773 0.140757548 b
0.0092 0.017839841 b
0.0299 0.075399115 b
0.015 0.000180757 b
0.0115 0.055440993 b
0.0996 0.093268175 b
0.6664 0.631287207 b
0.1684 0.126583912 b
0.0138 0.022462525 b
0.036 0.082664867 b
0.0165 0.000171887 b
0.0144 0.05990831 b
0.0968 0.09266199 b
0.6564 0.618675107 b
0.1661 0.123455313 b
0.0136 0.013257438 b
0.0316 0.063599076 b
0.0145 0.000197003 b
0.0125 0.046716642 b
0.1001 0.09503671 b
0.6503 0.647679584 b
0.1774 0.133513547 b
0.0127 0.016519353 b
0.0302 0.072784494 b
0.0142 0.000194035 b
0.0118 0.054135158 b
0.1024 0.093932615 b
0.6565 0.63106802 b
0.1722 0.131366325 b
0.013 0.016654323 b
0.0336 0.073114749 b
0.0154 0.000194379 b
0.0136 0.055035497 b
0.0924 0.09886295 b
0.6443 0.619629408 b
0.1877 0.136508694 b
0.024 0.006083101 c
0.223 0.18314527 c
0.59 0.606819403 c
0.163 0.146526013 c
0.024 0.007344733 c
0.223 0.196607483 c
0.59 0.584792817 c
0.163 0.144862825 c
0.024 0.007817225 c
0.223 0.20413853 c
0.59 0.582885899 c
0.163 0.142905491 c
0.024 0.008610924 c
0.223 0.208141813 c
0.59 0.569981623 c
0.163 0.143373566 c
0.024 0.00897616 c
0.223 0.207996045 c
0.59 0.565291614 c
0.163 0.144368047 c
0.024 0.008844303 c
0.223 0.205857591 c
0.59 0.570027159 c
0.163 0.144996868 c
0.024 0.009433456 c
0.223 0.210055677 c
0.59 0.562714293 c
0.163 0.144459927 c
0.024 0.009496595 c
0.223 0.212698833 c
0.59 0.560711551 c
0.163 0.14351753 c
0.024 0.010050341 c
0.223 0.219992169 c
0.59 0.567247848 c
0.163 0.141241314 c
};
end{axis}
end{tikzpicture}
caption{Nice caption}
label{fig:selectivity2}
end{figure}
end{document}
tikz-pgf pgfplots
tikz-pgf pgfplots
edited Jan 18 at 7:13
Stefan Pinnow
20.1k83276
asked Jan 17 at 20:59
user151562user151562
26018
edited Jan 18 at 7:13
Stefan Pinnow
20.1k83276
asked Jan 17 at 20:59
user151562user151562
26018
edited Jan 18 at 7:13
Stefan Pinnow
20.1k83276
edited Jan 18 at 7:13
Stefan Pinnow
20.1k83276
edited Jan 18 at 7:13
Stefan Pinnow
20.1k83276
20.1k83276
asked Jan 17 at 20:59
user151562user151562
26018
asked Jan 17 at 20:59
user151562user151562
26018
asked Jan 17 at 20:59
user151562user151562
26018
26018
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
4
I think regression plots may help to achieve what you want. In order not to have a too bulky code, I also load the data in a table macro.
documentclass[11pt,paper=a4,BCOR=15mm,bibliography=totoc,DIV=9,final,headings=optiontohead,
listof=chaptergapsmall,listof=totoc,numbers=noenddot,openright,parskip=half,titlepage,twoside,]{scrreprt}
usepackage[ngerman,english,]{babel}
usepackage[onehalfspacing]{setspace}
usepackage{tikz,pgfplots}
usepackage{pgfplotstable}
usetikzlibrary{intersections, calc}
usepgfplotslibrary{units}
pgfplotstableread{
x y label
0.002112423 0.000315235 a
0.008239025 0.018046369 a
0.062159889 0.043377048 a
0.208436752 0.228901981 a
0.001133101 0.000154947 a
0.040467529 0.027339084 a
0.089692556 0.064237734 a
0.28676767 0.31508994 a
0.002850088 0.000642276 a
0.021743629 0.024458691 a
0.079502818 0.057741852 a
0.254297655 0.287565373 a
0.000380747 0.000164715 a
0.032442275 0.030100629 a
0.094151846 0.069629312 a
0.294738866 0.324776721 a
0.00304861 0.000381536 a
0.019427897 0.020999092 a
0.062143477 0.048076131 a
0.194015639 0.216910177 a
0.003349286 0.000441544 a
0.020499155 0.022771878 a
0.067614017 0.051923091 a
0.207662339 0.231218823 a
0.003266332 0.00034481 a
0.035174329 0.026984827 a
0.081134664 0.060966461 a
0.244687574 0.263579365 a
0.003885047 0.000548398 a
0.026061176 0.02816921 a
0.083494892 0.064074034 a
0.254794902 0.283107698 a
0.00319197 0.00052752 a
0.026602327 0.02220633 a
0.069674766 0.050513108 a
0.207840599 0.223222373 a
0.012393 0.017580388 b
0.033038 0.080750236 b
0.015539 0.000107785 b
0.012579 0.054686291 b
0.102741 0.099809908 b
0.66043 0.643811883 b
0.16328 0.103253509 b
0.004 0.002069047 b
0.0084 0.028962671 b
0.0043 0.000156147 b
0.003 0.020684598 b
0.0978 0.106905039 b
0.7013 0.714270297 b
0.1812 0.126952202 b
0.0091 0.015147325 b
0.0297 0.077014777 b
0.0171 0.000147157 b
0.0091 0.056200871 b
0.0982 0.099332905 b
0.6678 0.633262363 b
0.169 0.118894602 b
0.0045 0.000940978 b
0.01 0.01989367 b
0.0073 0.000192736 b
0.0027 0.014700027 b
0.1102 0.10791124 b
0.688 0.715603802 b
0.1773 0.140757548 b
0.0092 0.017839841 b
0.0299 0.075399115 b
0.015 0.000180757 b
0.0115 0.055440993 b
0.0996 0.093268175 b
0.6664 0.631287207 b
0.1684 0.126583912 b
0.0138 0.022462525 b
0.036 0.082664867 b
0.0165 0.000171887 b
0.0144 0.05990831 b
0.0968 0.09266199 b
0.6564 0.618675107 b
0.1661 0.123455313 b
0.0136 0.013257438 b
0.0316 0.063599076 b
0.0145 0.000197003 b
0.0125 0.046716642 b
0.1001 0.09503671 b
0.6503 0.647679584 b
0.1774 0.133513547 b
0.0127 0.016519353 b
0.0302 0.072784494 b
0.0142 0.000194035 b
0.0118 0.054135158 b
0.1024 0.093932615 b
0.6565 0.63106802 b
0.1722 0.131366325 b
0.013 0.016654323 b
0.0336 0.073114749 b
0.0154 0.000194379 b
0.0136 0.055035497 b
0.0924 0.09886295 b
0.6443 0.619629408 b
0.1877 0.136508694 b
0.024 0.006083101 c
0.223 0.18314527 c
0.59 0.606819403 c
0.163 0.146526013 c
0.024 0.007344733 c
0.223 0.196607483 c
0.59 0.584792817 c
0.163 0.144862825 c
0.024 0.007817225 c
0.223 0.20413853 c
0.59 0.582885899 c
0.163 0.142905491 c
0.024 0.008610924 c
0.223 0.208141813 c
0.59 0.569981623 c
0.163 0.143373566 c
0.024 0.00897616 c
0.223 0.207996045 c
0.59 0.565291614 c
0.163 0.144368047 c
0.024 0.008844303 c
0.223 0.205857591 c
0.59 0.570027159 c
0.163 0.144996868 c
0.024 0.009433456 c
0.223 0.210055677 c
0.59 0.562714293 c
0.163 0.144459927 c
0.024 0.009496595 c
0.223 0.212698833 c
0.59 0.560711551 c
0.163 0.14351753 c
0.024 0.010050341 c
0.223 0.219992169 c
0.59 0.567247848 c
0.163 0.141241314 c
}{loadedtable}
begin{document}
begin{figure}[h!]
centering
begin{tikzpicture}[scale=1.23]
begin{axis}[scatter/classes={
a={mark=square*,blue},%
b={mark=triangle*,red},%
c={mark=o,draw=black}},
%enlargelimits=0.05,
xmax=0.8,
]
% addplot is better than addplot+ here:
% it avoids scalings of the cycle list
% draw (0,0) -- (1,1);
addplot[scatter,only marks,
scatter src=explicit symbolic]
%coordinates {
table[meta=label] {loadedtable};
addplot[color=blue] table [y={create col/linear regression={y=y}}] {loadedtable}
coordinate[pos=0] (start) coordinate[pos=1] (end);
xdefslope{pgfplotstableregressiona}
xdefoffset{pgfplotstableregressionb}
addplot[dashed,domain=0:0.75] {slope*x+offset+0.05}
node[pos=0.75,above left]{$+5%$};
addplot[dashed,domain=0:0.75] {slope*x+offset-0.05}
node[pos=0.75,below right]{$-5%$};
end{axis}
end{tikzpicture}
caption{Nice caption}
label{fig:selectivity2}
end{figure}
end{document}
answered Jan 17 at 21:14
marmotmarmot
103k4123234
Is not a regression plot. Anyway, in the example you presented, there is a way to add the legend to the dotted lines in the graphic area, like in the sample image I uploaded?
– user151562
Jan 17 at 21:55
In the example, is a regression plot. However, for the purpose I want, is to show the deviation between experimental data vs model obtained values (not to see the relation between two variables).
– user151562
Jan 17 at 22:02
add a comment |
1
I think you want to draw a parity plot. For that no regression is needed; you just need to plot straight lines which is a very easy task.
For more details please have a look at the comments in the code.
% used PGFPlots v1.16
documentclass[border=5pt]{standalone}
usepackage{pgfplots}
begin{document}
begin{tikzpicture}[
% define some parameters so one does not have to repeat it over and over again
/pgf/declare function={
Min = 0;
Max = 0.8;
Error = 0.05;
NodePos = 0.8;
},
]
begin{axis}[
scatter/classes={
a={mark=square*,blue},
b={mark=triangle*,red},
c={mark=o,draw=black}%
},
% use the above declared parameters here
xmin=Min, xmax=Max,
ymin=Min, ymax=Max,
domain=Min:Max,
% because we only want to draw straight lines, we only need 2 samples
samples=2,
% if the difference between the values on the x- and y-axis should have the same length ...
axis equal image,
]
% draw the diagonal
addplot [black] {x};
% draw the error lines ...
addplot [dashed] {(1+Error)*x}
% ... together with the corresponding nodes
node [pos=NodePos,above left] {%
pgfmathparse{Error*100}%
$+pgfmathprintnumber{pgfmathresult}%$%
}
;
addplot [dashed] {(1-Error)*x}
node [pos=NodePos,below right] {%
pgfmathparse{Error*100}%
$-pgfmathprintnumber{pgfmathresult}%$%
}
;
% draw the data points
addplot [
scatter,
only marks,
scatter src=explicit symbolic,
] table [meta=label] {
x y label
0.002112423 0.000315235 a
0.008239025 0.018046369 a
0.062159889 0.043377048 a
0.208436752 0.228901981 a
0.001133101 0.000154947 a
0.040467529 0.027339084 a
0.089692556 0.064237734 a
0.28676767 0.31508994 a
0.002850088 0.000642276 a
0.021743629 0.024458691 a
0.079502818 0.057741852 a
0.254297655 0.287565373 a
0.000380747 0.000164715 a
0.032442275 0.030100629 a
0.094151846 0.069629312 a
0.294738866 0.324776721 a
0.00304861 0.000381536 a
0.019427897 0.020999092 a
0.062143477 0.048076131 a
0.194015639 0.216910177 a
0.003349286 0.000441544 a
0.020499155 0.022771878 a
0.067614017 0.051923091 a
0.207662339 0.231218823 a
0.003266332 0.00034481 a
0.035174329 0.026984827 a
0.081134664 0.060966461 a
0.244687574 0.263579365 a
0.003885047 0.000548398 a
0.026061176 0.02816921 a
0.083494892 0.064074034 a
0.254794902 0.283107698 a
0.00319197 0.00052752 a
0.026602327 0.02220633 a
0.069674766 0.050513108 a
0.207840599 0.223222373 a
0.012393 0.017580388 b
0.033038 0.080750236 b
0.015539 0.000107785 b
0.012579 0.054686291 b
0.102741 0.099809908 b
0.66043 0.643811883 b
0.16328 0.103253509 b
0.004 0.002069047 b
0.0084 0.028962671 b
0.0043 0.000156147 b
0.003 0.020684598 b
0.0978 0.106905039 b
0.7013 0.714270297 b
0.1812 0.126952202 b
0.0091 0.015147325 b
0.0297 0.077014777 b
0.0171 0.000147157 b
0.0091 0.056200871 b
0.0982 0.099332905 b
0.6678 0.633262363 b
0.169 0.118894602 b
0.0045 0.000940978 b
0.01 0.01989367 b
0.0073 0.000192736 b
0.0027 0.014700027 b
0.1102 0.10791124 b
0.688 0.715603802 b
0.1773 0.140757548 b
0.0092 0.017839841 b
0.0299 0.075399115 b
0.015 0.000180757 b
0.0115 0.055440993 b
0.0996 0.093268175 b
0.6664 0.631287207 b
0.1684 0.126583912 b
0.0138 0.022462525 b
0.036 0.082664867 b
0.0165 0.000171887 b
0.0144 0.05990831 b
0.0968 0.09266199 b
0.6564 0.618675107 b
0.1661 0.123455313 b
0.0136 0.013257438 b
0.0316 0.063599076 b
0.0145 0.000197003 b
0.0125 0.046716642 b
0.1001 0.09503671 b
0.6503 0.647679584 b
0.1774 0.133513547 b
0.0127 0.016519353 b
0.0302 0.072784494 b
0.0142 0.000194035 b
0.0118 0.054135158 b
0.1024 0.093932615 b
0.6565 0.63106802 b
0.1722 0.131366325 b
0.013 0.016654323 b
0.0336 0.073114749 b
0.0154 0.000194379 b
0.0136 0.055035497 b
0.0924 0.09886295 b
0.6443 0.619629408 b
0.1877 0.136508694 b
0.024 0.006083101 c
0.223 0.18314527 c
0.59 0.606819403 c
0.163 0.146526013 c
0.024 0.007344733 c
0.223 0.196607483 c
0.59 0.584792817 c
0.163 0.144862825 c
0.024 0.007817225 c
0.223 0.20413853 c
0.59 0.582885899 c
0.163 0.142905491 c
0.024 0.008610924 c
0.223 0.208141813 c
0.59 0.569981623 c
0.163 0.143373566 c
0.024 0.00897616 c
0.223 0.207996045 c
0.59 0.565291614 c
0.163 0.144368047 c
0.024 0.008844303 c
0.223 0.205857591 c
0.59 0.570027159 c
0.163 0.144996868 c
0.024 0.009433456 c
0.223 0.210055677 c
0.59 0.562714293 c
0.163 0.144459927 c
0.024 0.009496595 c
0.223 0.212698833 c
0.59 0.560711551 c
0.163 0.14351753 c
0.024 0.010050341 c
0.223 0.219992169 c
0.59 0.567247848 c
0.163 0.141241314 c
};
end{axis}
end{tikzpicture}
end{document}
answered Jan 18 at 6:12
Stefan PinnowStefan Pinnow
20.1k83276
add a comment |
Your Answer
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2 Answers
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2 Answers
2
active
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active
oldest
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active
oldest
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4
I think regression plots may help to achieve what you want. In order not to have a too bulky code, I also load the data in a table macro.
documentclass[11pt,paper=a4,BCOR=15mm,bibliography=totoc,DIV=9,final,headings=optiontohead,
listof=chaptergapsmall,listof=totoc,numbers=noenddot,openright,parskip=half,titlepage,twoside,]{scrreprt}
usepackage[ngerman,english,]{babel}
usepackage[onehalfspacing]{setspace}
usepackage{tikz,pgfplots}
usepackage{pgfplotstable}
usetikzlibrary{intersections, calc}
usepgfplotslibrary{units}
pgfplotstableread{
x y label
0.002112423 0.000315235 a
0.008239025 0.018046369 a
0.062159889 0.043377048 a
0.208436752 0.228901981 a
0.001133101 0.000154947 a
0.040467529 0.027339084 a
0.089692556 0.064237734 a
0.28676767 0.31508994 a
0.002850088 0.000642276 a
0.021743629 0.024458691 a
0.079502818 0.057741852 a
0.254297655 0.287565373 a
0.000380747 0.000164715 a
0.032442275 0.030100629 a
0.094151846 0.069629312 a
0.294738866 0.324776721 a
0.00304861 0.000381536 a
0.019427897 0.020999092 a
0.062143477 0.048076131 a
0.194015639 0.216910177 a
0.003349286 0.000441544 a
0.020499155 0.022771878 a
0.067614017 0.051923091 a
0.207662339 0.231218823 a
0.003266332 0.00034481 a
0.035174329 0.026984827 a
0.081134664 0.060966461 a
0.244687574 0.263579365 a
0.003885047 0.000548398 a
0.026061176 0.02816921 a
0.083494892 0.064074034 a
0.254794902 0.283107698 a
0.00319197 0.00052752 a
0.026602327 0.02220633 a
0.069674766 0.050513108 a
0.207840599 0.223222373 a
0.012393 0.017580388 b
0.033038 0.080750236 b
0.015539 0.000107785 b
0.012579 0.054686291 b
0.102741 0.099809908 b
0.66043 0.643811883 b
0.16328 0.103253509 b
0.004 0.002069047 b
0.0084 0.028962671 b
0.0043 0.000156147 b
0.003 0.020684598 b
0.0978 0.106905039 b
0.7013 0.714270297 b
0.1812 0.126952202 b
0.0091 0.015147325 b
0.0297 0.077014777 b
0.0171 0.000147157 b
0.0091 0.056200871 b
0.0982 0.099332905 b
0.6678 0.633262363 b
0.169 0.118894602 b
0.0045 0.000940978 b
0.01 0.01989367 b
0.0073 0.000192736 b
0.0027 0.014700027 b
0.1102 0.10791124 b
0.688 0.715603802 b
0.1773 0.140757548 b
0.0092 0.017839841 b
0.0299 0.075399115 b
0.015 0.000180757 b
0.0115 0.055440993 b
0.0996 0.093268175 b
0.6664 0.631287207 b
0.1684 0.126583912 b
0.0138 0.022462525 b
0.036 0.082664867 b
0.0165 0.000171887 b
0.0144 0.05990831 b
0.0968 0.09266199 b
0.6564 0.618675107 b
0.1661 0.123455313 b
0.0136 0.013257438 b
0.0316 0.063599076 b
0.0145 0.000197003 b
0.0125 0.046716642 b
0.1001 0.09503671 b
0.6503 0.647679584 b
0.1774 0.133513547 b
0.0127 0.016519353 b
0.0302 0.072784494 b
0.0142 0.000194035 b
0.0118 0.054135158 b
0.1024 0.093932615 b
0.6565 0.63106802 b
0.1722 0.131366325 b
0.013 0.016654323 b
0.0336 0.073114749 b
0.0154 0.000194379 b
0.0136 0.055035497 b
0.0924 0.09886295 b
0.6443 0.619629408 b
0.1877 0.136508694 b
0.024 0.006083101 c
0.223 0.18314527 c
0.59 0.606819403 c
0.163 0.146526013 c
0.024 0.007344733 c
0.223 0.196607483 c
0.59 0.584792817 c
0.163 0.144862825 c
0.024 0.007817225 c
0.223 0.20413853 c
0.59 0.582885899 c
0.163 0.142905491 c
0.024 0.008610924 c
0.223 0.208141813 c
0.59 0.569981623 c
0.163 0.143373566 c
0.024 0.00897616 c
0.223 0.207996045 c
0.59 0.565291614 c
0.163 0.144368047 c
0.024 0.008844303 c
0.223 0.205857591 c
0.59 0.570027159 c
0.163 0.144996868 c
0.024 0.009433456 c
0.223 0.210055677 c
0.59 0.562714293 c
0.163 0.144459927 c
0.024 0.009496595 c
0.223 0.212698833 c
0.59 0.560711551 c
0.163 0.14351753 c
0.024 0.010050341 c
0.223 0.219992169 c
0.59 0.567247848 c
0.163 0.141241314 c
}{loadedtable}
begin{document}
begin{figure}[h!]
centering
begin{tikzpicture}[scale=1.23]
begin{axis}[scatter/classes={
a={mark=square*,blue},%
b={mark=triangle*,red},%
c={mark=o,draw=black}},
%enlargelimits=0.05,
xmax=0.8,
]
% addplot is better than addplot+ here:
% it avoids scalings of the cycle list
% draw (0,0) -- (1,1);
addplot[scatter,only marks,
scatter src=explicit symbolic]
%coordinates {
table[meta=label] {loadedtable};
addplot[color=blue] table [y={create col/linear regression={y=y}}] {loadedtable}
coordinate[pos=0] (start) coordinate[pos=1] (end);
xdefslope{pgfplotstableregressiona}
xdefoffset{pgfplotstableregressionb}
addplot[dashed,domain=0:0.75] {slope*x+offset+0.05}
node[pos=0.75,above left]{$+5%$};
addplot[dashed,domain=0:0.75] {slope*x+offset-0.05}
node[pos=0.75,below right]{$-5%$};
end{axis}
end{tikzpicture}
caption{Nice caption}
label{fig:selectivity2}
end{figure}
end{document}
answered Jan 17 at 21:14
marmotmarmot
103k4123234
Is not a regression plot. Anyway, in the example you presented, there is a way to add the legend to the dotted lines in the graphic area, like in the sample image I uploaded?
– user151562
Jan 17 at 21:55
In the example, is a regression plot. However, for the purpose I want, is to show the deviation between experimental data vs model obtained values (not to see the relation between two variables).
– user151562
Jan 17 at 22:02
add a comment |
4
I think regression plots may help to achieve what you want. In order not to have a too bulky code, I also load the data in a table macro.
documentclass[11pt,paper=a4,BCOR=15mm,bibliography=totoc,DIV=9,final,headings=optiontohead,
listof=chaptergapsmall,listof=totoc,numbers=noenddot,openright,parskip=half,titlepage,twoside,]{scrreprt}
usepackage[ngerman,english,]{babel}
usepackage[onehalfspacing]{setspace}
usepackage{tikz,pgfplots}
usepackage{pgfplotstable}
usetikzlibrary{intersections, calc}
usepgfplotslibrary{units}
pgfplotstableread{
x y label
0.002112423 0.000315235 a
0.008239025 0.018046369 a
0.062159889 0.043377048 a
0.208436752 0.228901981 a
0.001133101 0.000154947 a
0.040467529 0.027339084 a
0.089692556 0.064237734 a
0.28676767 0.31508994 a
0.002850088 0.000642276 a
0.021743629 0.024458691 a
0.079502818 0.057741852 a
0.254297655 0.287565373 a
0.000380747 0.000164715 a
0.032442275 0.030100629 a
0.094151846 0.069629312 a
0.294738866 0.324776721 a
0.00304861 0.000381536 a
0.019427897 0.020999092 a
0.062143477 0.048076131 a
0.194015639 0.216910177 a
0.003349286 0.000441544 a
0.020499155 0.022771878 a
0.067614017 0.051923091 a
0.207662339 0.231218823 a
0.003266332 0.00034481 a
0.035174329 0.026984827 a
0.081134664 0.060966461 a
0.244687574 0.263579365 a
0.003885047 0.000548398 a
0.026061176 0.02816921 a
0.083494892 0.064074034 a
0.254794902 0.283107698 a
0.00319197 0.00052752 a
0.026602327 0.02220633 a
0.069674766 0.050513108 a
0.207840599 0.223222373 a
0.012393 0.017580388 b
0.033038 0.080750236 b
0.015539 0.000107785 b
0.012579 0.054686291 b
0.102741 0.099809908 b
0.66043 0.643811883 b
0.16328 0.103253509 b
0.004 0.002069047 b
0.0084 0.028962671 b
0.0043 0.000156147 b
0.003 0.020684598 b
0.0978 0.106905039 b
0.7013 0.714270297 b
0.1812 0.126952202 b
0.0091 0.015147325 b
0.0297 0.077014777 b
0.0171 0.000147157 b
0.0091 0.056200871 b
0.0982 0.099332905 b
0.6678 0.633262363 b
0.169 0.118894602 b
0.0045 0.000940978 b
0.01 0.01989367 b
0.0073 0.000192736 b
0.0027 0.014700027 b
0.1102 0.10791124 b
0.688 0.715603802 b
0.1773 0.140757548 b
0.0092 0.017839841 b
0.0299 0.075399115 b
0.015 0.000180757 b
0.0115 0.055440993 b
0.0996 0.093268175 b
0.6664 0.631287207 b
0.1684 0.126583912 b
0.0138 0.022462525 b
0.036 0.082664867 b
0.0165 0.000171887 b
0.0144 0.05990831 b
0.0968 0.09266199 b
0.6564 0.618675107 b
0.1661 0.123455313 b
0.0136 0.013257438 b
0.0316 0.063599076 b
0.0145 0.000197003 b
0.0125 0.046716642 b
0.1001 0.09503671 b
0.6503 0.647679584 b
0.1774 0.133513547 b
0.0127 0.016519353 b
0.0302 0.072784494 b
0.0142 0.000194035 b
0.0118 0.054135158 b
0.1024 0.093932615 b
0.6565 0.63106802 b
0.1722 0.131366325 b
0.013 0.016654323 b
0.0336 0.073114749 b
0.0154 0.000194379 b
0.0136 0.055035497 b
0.0924 0.09886295 b
0.6443 0.619629408 b
0.1877 0.136508694 b
0.024 0.006083101 c
0.223 0.18314527 c
0.59 0.606819403 c
0.163 0.146526013 c
0.024 0.007344733 c
0.223 0.196607483 c
0.59 0.584792817 c
0.163 0.144862825 c
0.024 0.007817225 c
0.223 0.20413853 c
0.59 0.582885899 c
0.163 0.142905491 c
0.024 0.008610924 c
0.223 0.208141813 c
0.59 0.569981623 c
0.163 0.143373566 c
0.024 0.00897616 c
0.223 0.207996045 c
0.59 0.565291614 c
0.163 0.144368047 c
0.024 0.008844303 c
0.223 0.205857591 c
0.59 0.570027159 c
0.163 0.144996868 c
0.024 0.009433456 c
0.223 0.210055677 c
0.59 0.562714293 c
0.163 0.144459927 c
0.024 0.009496595 c
0.223 0.212698833 c
0.59 0.560711551 c
0.163 0.14351753 c
0.024 0.010050341 c
0.223 0.219992169 c
0.59 0.567247848 c
0.163 0.141241314 c
}{loadedtable}
begin{document}
begin{figure}[h!]
centering
begin{tikzpicture}[scale=1.23]
begin{axis}[scatter/classes={
a={mark=square*,blue},%
b={mark=triangle*,red},%
c={mark=o,draw=black}},
%enlargelimits=0.05,
xmax=0.8,
]
% addplot is better than addplot+ here:
% it avoids scalings of the cycle list
% draw (0,0) -- (1,1);
addplot[scatter,only marks,
scatter src=explicit symbolic]
%coordinates {
table[meta=label] {loadedtable};
addplot[color=blue] table [y={create col/linear regression={y=y}}] {loadedtable}
coordinate[pos=0] (start) coordinate[pos=1] (end);
xdefslope{pgfplotstableregressiona}
xdefoffset{pgfplotstableregressionb}
addplot[dashed,domain=0:0.75] {slope*x+offset+0.05}
node[pos=0.75,above left]{$+5%$};
addplot[dashed,domain=0:0.75] {slope*x+offset-0.05}
node[pos=0.75,below right]{$-5%$};
end{axis}
end{tikzpicture}
caption{Nice caption}
label{fig:selectivity2}
end{figure}
end{document}
answered Jan 17 at 21:14
marmotmarmot
103k4123234
Is not a regression plot. Anyway, in the example you presented, there is a way to add the legend to the dotted lines in the graphic area, like in the sample image I uploaded?
– user151562
Jan 17 at 21:55
In the example, is a regression plot. However, for the purpose I want, is to show the deviation between experimental data vs model obtained values (not to see the relation between two variables).
– user151562
Jan 17 at 22:02
add a comment |
4
4
4
I think regression plots may help to achieve what you want. In order not to have a too bulky code, I also load the data in a table macro.
documentclass[11pt,paper=a4,BCOR=15mm,bibliography=totoc,DIV=9,final,headings=optiontohead,
listof=chaptergapsmall,listof=totoc,numbers=noenddot,openright,parskip=half,titlepage,twoside,]{scrreprt}
usepackage[ngerman,english,]{babel}
usepackage[onehalfspacing]{setspace}
usepackage{tikz,pgfplots}
usepackage{pgfplotstable}
usetikzlibrary{intersections, calc}
usepgfplotslibrary{units}
pgfplotstableread{
x y label
0.002112423 0.000315235 a
0.008239025 0.018046369 a
0.062159889 0.043377048 a
0.208436752 0.228901981 a
0.001133101 0.000154947 a
0.040467529 0.027339084 a
0.089692556 0.064237734 a
0.28676767 0.31508994 a
0.002850088 0.000642276 a
0.021743629 0.024458691 a
0.079502818 0.057741852 a
0.254297655 0.287565373 a
0.000380747 0.000164715 a
0.032442275 0.030100629 a
0.094151846 0.069629312 a
0.294738866 0.324776721 a
0.00304861 0.000381536 a
0.019427897 0.020999092 a
0.062143477 0.048076131 a
0.194015639 0.216910177 a
0.003349286 0.000441544 a
0.020499155 0.022771878 a
0.067614017 0.051923091 a
0.207662339 0.231218823 a
0.003266332 0.00034481 a
0.035174329 0.026984827 a
0.081134664 0.060966461 a
0.244687574 0.263579365 a
0.003885047 0.000548398 a
0.026061176 0.02816921 a
0.083494892 0.064074034 a
0.254794902 0.283107698 a
0.00319197 0.00052752 a
0.026602327 0.02220633 a
0.069674766 0.050513108 a
0.207840599 0.223222373 a
0.012393 0.017580388 b
0.033038 0.080750236 b
0.015539 0.000107785 b
0.012579 0.054686291 b
0.102741 0.099809908 b
0.66043 0.643811883 b
0.16328 0.103253509 b
0.004 0.002069047 b
0.0084 0.028962671 b
0.0043 0.000156147 b
0.003 0.020684598 b
0.0978 0.106905039 b
0.7013 0.714270297 b
0.1812 0.126952202 b
0.0091 0.015147325 b
0.0297 0.077014777 b
0.0171 0.000147157 b
0.0091 0.056200871 b
0.0982 0.099332905 b
0.6678 0.633262363 b
0.169 0.118894602 b
0.0045 0.000940978 b
0.01 0.01989367 b
0.0073 0.000192736 b
0.0027 0.014700027 b
0.1102 0.10791124 b
0.688 0.715603802 b
0.1773 0.140757548 b
0.0092 0.017839841 b
0.0299 0.075399115 b
0.015 0.000180757 b
0.0115 0.055440993 b
0.0996 0.093268175 b
0.6664 0.631287207 b
0.1684 0.126583912 b
0.0138 0.022462525 b
0.036 0.082664867 b
0.0165 0.000171887 b
0.0144 0.05990831 b
0.0968 0.09266199 b
0.6564 0.618675107 b
0.1661 0.123455313 b
0.0136 0.013257438 b
0.0316 0.063599076 b
0.0145 0.000197003 b
0.0125 0.046716642 b
0.1001 0.09503671 b
0.6503 0.647679584 b
0.1774 0.133513547 b
0.0127 0.016519353 b
0.0302 0.072784494 b
0.0142 0.000194035 b
0.0118 0.054135158 b
0.1024 0.093932615 b
0.6565 0.63106802 b
0.1722 0.131366325 b
0.013 0.016654323 b
0.0336 0.073114749 b
0.0154 0.000194379 b
0.0136 0.055035497 b
0.0924 0.09886295 b
0.6443 0.619629408 b
0.1877 0.136508694 b
0.024 0.006083101 c
0.223 0.18314527 c
0.59 0.606819403 c
0.163 0.146526013 c
0.024 0.007344733 c
0.223 0.196607483 c
0.59 0.584792817 c
0.163 0.144862825 c
0.024 0.007817225 c
0.223 0.20413853 c
0.59 0.582885899 c
0.163 0.142905491 c
0.024 0.008610924 c
0.223 0.208141813 c
0.59 0.569981623 c
0.163 0.143373566 c
0.024 0.00897616 c
0.223 0.207996045 c
0.59 0.565291614 c
0.163 0.144368047 c
0.024 0.008844303 c
0.223 0.205857591 c
0.59 0.570027159 c
0.163 0.144996868 c
0.024 0.009433456 c
0.223 0.210055677 c
0.59 0.562714293 c
0.163 0.144459927 c
0.024 0.009496595 c
0.223 0.212698833 c
0.59 0.560711551 c
0.163 0.14351753 c
0.024 0.010050341 c
0.223 0.219992169 c
0.59 0.567247848 c
0.163 0.141241314 c
}{loadedtable}
begin{document}
begin{figure}[h!]
centering
begin{tikzpicture}[scale=1.23]
begin{axis}[scatter/classes={
a={mark=square*,blue},%
b={mark=triangle*,red},%
c={mark=o,draw=black}},
%enlargelimits=0.05,
xmax=0.8,
]
% addplot is better than addplot+ here:
% it avoids scalings of the cycle list
% draw (0,0) -- (1,1);
addplot[scatter,only marks,
scatter src=explicit symbolic]
%coordinates {
table[meta=label] {loadedtable};
addplot[color=blue] table [y={create col/linear regression={y=y}}] {loadedtable}
coordinate[pos=0] (start) coordinate[pos=1] (end);
xdefslope{pgfplotstableregressiona}
xdefoffset{pgfplotstableregressionb}
addplot[dashed,domain=0:0.75] {slope*x+offset+0.05}
node[pos=0.75,above left]{$+5%$};
addplot[dashed,domain=0:0.75] {slope*x+offset-0.05}
node[pos=0.75,below right]{$-5%$};
end{axis}
end{tikzpicture}
caption{Nice caption}
label{fig:selectivity2}
end{figure}
end{document}
answered Jan 17 at 21:14
marmotmarmot
103k4123234
I think regression plots may help to achieve what you want. In order not to have a too bulky code, I also load the data in a table macro.
documentclass[11pt,paper=a4,BCOR=15mm,bibliography=totoc,DIV=9,final,headings=optiontohead,
listof=chaptergapsmall,listof=totoc,numbers=noenddot,openright,parskip=half,titlepage,twoside,]{scrreprt}
usepackage[ngerman,english,]{babel}
usepackage[onehalfspacing]{setspace}
usepackage{tikz,pgfplots}
usepackage{pgfplotstable}
usetikzlibrary{intersections, calc}
usepgfplotslibrary{units}
pgfplotstableread{
x y label
0.002112423 0.000315235 a
0.008239025 0.018046369 a
0.062159889 0.043377048 a
0.208436752 0.228901981 a
0.001133101 0.000154947 a
0.040467529 0.027339084 a
0.089692556 0.064237734 a
0.28676767 0.31508994 a
0.002850088 0.000642276 a
0.021743629 0.024458691 a
0.079502818 0.057741852 a
0.254297655 0.287565373 a
0.000380747 0.000164715 a
0.032442275 0.030100629 a
0.094151846 0.069629312 a
0.294738866 0.324776721 a
0.00304861 0.000381536 a
0.019427897 0.020999092 a
0.062143477 0.048076131 a
0.194015639 0.216910177 a
0.003349286 0.000441544 a
0.020499155 0.022771878 a
0.067614017 0.051923091 a
0.207662339 0.231218823 a
0.003266332 0.00034481 a
0.035174329 0.026984827 a
0.081134664 0.060966461 a
0.244687574 0.263579365 a
0.003885047 0.000548398 a
0.026061176 0.02816921 a
0.083494892 0.064074034 a
0.254794902 0.283107698 a
0.00319197 0.00052752 a
0.026602327 0.02220633 a
0.069674766 0.050513108 a
0.207840599 0.223222373 a
0.012393 0.017580388 b
0.033038 0.080750236 b
0.015539 0.000107785 b
0.012579 0.054686291 b
0.102741 0.099809908 b
0.66043 0.643811883 b
0.16328 0.103253509 b
0.004 0.002069047 b
0.0084 0.028962671 b
0.0043 0.000156147 b
0.003 0.020684598 b
0.0978 0.106905039 b
0.7013 0.714270297 b
0.1812 0.126952202 b
0.0091 0.015147325 b
0.0297 0.077014777 b
0.0171 0.000147157 b
0.0091 0.056200871 b
0.0982 0.099332905 b
0.6678 0.633262363 b
0.169 0.118894602 b
0.0045 0.000940978 b
0.01 0.01989367 b
0.0073 0.000192736 b
0.0027 0.014700027 b
0.1102 0.10791124 b
0.688 0.715603802 b
0.1773 0.140757548 b
0.0092 0.017839841 b
0.0299 0.075399115 b
0.015 0.000180757 b
0.0115 0.055440993 b
0.0996 0.093268175 b
0.6664 0.631287207 b
0.1684 0.126583912 b
0.0138 0.022462525 b
0.036 0.082664867 b
0.0165 0.000171887 b
0.0144 0.05990831 b
0.0968 0.09266199 b
0.6564 0.618675107 b
0.1661 0.123455313 b
0.0136 0.013257438 b
0.0316 0.063599076 b
0.0145 0.000197003 b
0.0125 0.046716642 b
0.1001 0.09503671 b
0.6503 0.647679584 b
0.1774 0.133513547 b
0.0127 0.016519353 b
0.0302 0.072784494 b
0.0142 0.000194035 b
0.0118 0.054135158 b
0.1024 0.093932615 b
0.6565 0.63106802 b
0.1722 0.131366325 b
0.013 0.016654323 b
0.0336 0.073114749 b
0.0154 0.000194379 b
0.0136 0.055035497 b
0.0924 0.09886295 b
0.6443 0.619629408 b
0.1877 0.136508694 b
0.024 0.006083101 c
0.223 0.18314527 c
0.59 0.606819403 c
0.163 0.146526013 c
0.024 0.007344733 c
0.223 0.196607483 c
0.59 0.584792817 c
0.163 0.144862825 c
0.024 0.007817225 c
0.223 0.20413853 c
0.59 0.582885899 c
0.163 0.142905491 c
0.024 0.008610924 c
0.223 0.208141813 c
0.59 0.569981623 c
0.163 0.143373566 c
0.024 0.00897616 c
0.223 0.207996045 c
0.59 0.565291614 c
0.163 0.144368047 c
0.024 0.008844303 c
0.223 0.205857591 c
0.59 0.570027159 c
0.163 0.144996868 c
0.024 0.009433456 c
0.223 0.210055677 c
0.59 0.562714293 c
0.163 0.144459927 c
0.024 0.009496595 c
0.223 0.212698833 c
0.59 0.560711551 c
0.163 0.14351753 c
0.024 0.010050341 c
0.223 0.219992169 c
0.59 0.567247848 c
0.163 0.141241314 c
}{loadedtable}
begin{document}
begin{figure}[h!]
centering
begin{tikzpicture}[scale=1.23]
begin{axis}[scatter/classes={
a={mark=square*,blue},%
b={mark=triangle*,red},%
c={mark=o,draw=black}},
%enlargelimits=0.05,
xmax=0.8,
]
% addplot is better than addplot+ here:
% it avoids scalings of the cycle list
% draw (0,0) -- (1,1);
addplot[scatter,only marks,
scatter src=explicit symbolic]
%coordinates {
table[meta=label] {loadedtable};
addplot[color=blue] table [y={create col/linear regression={y=y}}] {loadedtable}
coordinate[pos=0] (start) coordinate[pos=1] (end);
xdefslope{pgfplotstableregressiona}
xdefoffset{pgfplotstableregressionb}
addplot[dashed,domain=0:0.75] {slope*x+offset+0.05}
node[pos=0.75,above left]{$+5%$};
addplot[dashed,domain=0:0.75] {slope*x+offset-0.05}
node[pos=0.75,below right]{$-5%$};
end{axis}
end{tikzpicture}
caption{Nice caption}
label{fig:selectivity2}
end{figure}
end{document}
answered Jan 17 at 21:14
marmotmarmot
103k4123234
edited Jan 17 at 23:20
answered Jan 17 at 21:14
marmotmarmot
103k4123234
answered Jan 17 at 21:14
marmotmarmot
103k4123234
answered Jan 17 at 21:14
marmotmarmot
103k4123234
103k4123234
Is not a regression plot. Anyway, in the example you presented, there is a way to add the legend to the dotted lines in the graphic area, like in the sample image I uploaded?
– user151562
Jan 17 at 21:55
In the example, is a regression plot. However, for the purpose I want, is to show the deviation between experimental data vs model obtained values (not to see the relation between two variables).
– user151562
Jan 17 at 22:02
add a comment |
Is not a regression plot. Anyway, in the example you presented, there is a way to add the legend to the dotted lines in the graphic area, like in the sample image I uploaded?
– user151562
Jan 17 at 21:55
In the example, is a regression plot. However, for the purpose I want, is to show the deviation between experimental data vs model obtained values (not to see the relation between two variables).
– user151562
Jan 17 at 22:02
Is not a regression plot. Anyway, in the example you presented, there is a way to add the legend to the dotted lines in the graphic area, like in the sample image I uploaded?
– user151562
Jan 17 at 21:55
Is not a regression plot. Anyway, in the example you presented, there is a way to add the legend to the dotted lines in the graphic area, like in the sample image I uploaded?
– user151562
Jan 17 at 21:55
In the example, is a regression plot. However, for the purpose I want, is to show the deviation between experimental data vs model obtained values (not to see the relation between two variables).
– user151562
Jan 17 at 22:02
In the example, is a regression plot. However, for the purpose I want, is to show the deviation between experimental data vs model obtained values (not to see the relation between two variables).
– user151562
Jan 17 at 22:02
add a comment |
1
I think you want to draw a parity plot. For that no regression is needed; you just need to plot straight lines which is a very easy task.
For more details please have a look at the comments in the code.
% used PGFPlots v1.16
documentclass[border=5pt]{standalone}
usepackage{pgfplots}
begin{document}
begin{tikzpicture}[
% define some parameters so one does not have to repeat it over and over again
/pgf/declare function={
Min = 0;
Max = 0.8;
Error = 0.05;
NodePos = 0.8;
},
]
begin{axis}[
scatter/classes={
a={mark=square*,blue},
b={mark=triangle*,red},
c={mark=o,draw=black}%
},
% use the above declared parameters here
xmin=Min, xmax=Max,
ymin=Min, ymax=Max,
domain=Min:Max,
% because we only want to draw straight lines, we only need 2 samples
samples=2,
% if the difference between the values on the x- and y-axis should have the same length ...
axis equal image,
]
% draw the diagonal
addplot [black] {x};
% draw the error lines ...
addplot [dashed] {(1+Error)*x}
% ... together with the corresponding nodes
node [pos=NodePos,above left] {%
pgfmathparse{Error*100}%
$+pgfmathprintnumber{pgfmathresult}%$%
}
;
addplot [dashed] {(1-Error)*x}
node [pos=NodePos,below right] {%
pgfmathparse{Error*100}%
$-pgfmathprintnumber{pgfmathresult}%$%
}
;
% draw the data points
addplot [
scatter,
only marks,
scatter src=explicit symbolic,
] table [meta=label] {
x y label
0.002112423 0.000315235 a
0.008239025 0.018046369 a
0.062159889 0.043377048 a
0.208436752 0.228901981 a
0.001133101 0.000154947 a
0.040467529 0.027339084 a
0.089692556 0.064237734 a
0.28676767 0.31508994 a
0.002850088 0.000642276 a
0.021743629 0.024458691 a
0.079502818 0.057741852 a
0.254297655 0.287565373 a
0.000380747 0.000164715 a
0.032442275 0.030100629 a
0.094151846 0.069629312 a
0.294738866 0.324776721 a
0.00304861 0.000381536 a
0.019427897 0.020999092 a
0.062143477 0.048076131 a
0.194015639 0.216910177 a
0.003349286 0.000441544 a
0.020499155 0.022771878 a
0.067614017 0.051923091 a
0.207662339 0.231218823 a
0.003266332 0.00034481 a
0.035174329 0.026984827 a
0.081134664 0.060966461 a
0.244687574 0.263579365 a
0.003885047 0.000548398 a
0.026061176 0.02816921 a
0.083494892 0.064074034 a
0.254794902 0.283107698 a
0.00319197 0.00052752 a
0.026602327 0.02220633 a
0.069674766 0.050513108 a
0.207840599 0.223222373 a
0.012393 0.017580388 b
0.033038 0.080750236 b
0.015539 0.000107785 b
0.012579 0.054686291 b
0.102741 0.099809908 b
0.66043 0.643811883 b
0.16328 0.103253509 b
0.004 0.002069047 b
0.0084 0.028962671 b
0.0043 0.000156147 b
0.003 0.020684598 b
0.0978 0.106905039 b
0.7013 0.714270297 b
0.1812 0.126952202 b
0.0091 0.015147325 b
0.0297 0.077014777 b
0.0171 0.000147157 b
0.0091 0.056200871 b
0.0982 0.099332905 b
0.6678 0.633262363 b
0.169 0.118894602 b
0.0045 0.000940978 b
0.01 0.01989367 b
0.0073 0.000192736 b
0.0027 0.014700027 b
0.1102 0.10791124 b
0.688 0.715603802 b
0.1773 0.140757548 b
0.0092 0.017839841 b
0.0299 0.075399115 b
0.015 0.000180757 b
0.0115 0.055440993 b
0.0996 0.093268175 b
0.6664 0.631287207 b
0.1684 0.126583912 b
0.0138 0.022462525 b
0.036 0.082664867 b
0.0165 0.000171887 b
0.0144 0.05990831 b
0.0968 0.09266199 b
0.6564 0.618675107 b
0.1661 0.123455313 b
0.0136 0.013257438 b
0.0316 0.063599076 b
0.0145 0.000197003 b
0.0125 0.046716642 b
0.1001 0.09503671 b
0.6503 0.647679584 b
0.1774 0.133513547 b
0.0127 0.016519353 b
0.0302 0.072784494 b
0.0142 0.000194035 b
0.0118 0.054135158 b
0.1024 0.093932615 b
0.6565 0.63106802 b
0.1722 0.131366325 b
0.013 0.016654323 b
0.0336 0.073114749 b
0.0154 0.000194379 b
0.0136 0.055035497 b
0.0924 0.09886295 b
0.6443 0.619629408 b
0.1877 0.136508694 b
0.024 0.006083101 c
0.223 0.18314527 c
0.59 0.606819403 c
0.163 0.146526013 c
0.024 0.007344733 c
0.223 0.196607483 c
0.59 0.584792817 c
0.163 0.144862825 c
0.024 0.007817225 c
0.223 0.20413853 c
0.59 0.582885899 c
0.163 0.142905491 c
0.024 0.008610924 c
0.223 0.208141813 c
0.59 0.569981623 c
0.163 0.143373566 c
0.024 0.00897616 c
0.223 0.207996045 c
0.59 0.565291614 c
0.163 0.144368047 c
0.024 0.008844303 c
0.223 0.205857591 c
0.59 0.570027159 c
0.163 0.144996868 c
0.024 0.009433456 c
0.223 0.210055677 c
0.59 0.562714293 c
0.163 0.144459927 c
0.024 0.009496595 c
0.223 0.212698833 c
0.59 0.560711551 c
0.163 0.14351753 c
0.024 0.010050341 c
0.223 0.219992169 c
0.59 0.567247848 c
0.163 0.141241314 c
};
end{axis}
end{tikzpicture}
end{document}
answered Jan 18 at 6:12
Stefan PinnowStefan Pinnow
20.1k83276
add a comment |
1
I think you want to draw a parity plot. For that no regression is needed; you just need to plot straight lines which is a very easy task.
For more details please have a look at the comments in the code.
% used PGFPlots v1.16
documentclass[border=5pt]{standalone}
usepackage{pgfplots}
begin{document}
begin{tikzpicture}[
% define some parameters so one does not have to repeat it over and over again
/pgf/declare function={
Min = 0;
Max = 0.8;
Error = 0.05;
NodePos = 0.8;
},
]
begin{axis}[
scatter/classes={
a={mark=square*,blue},
b={mark=triangle*,red},
c={mark=o,draw=black}%
},
% use the above declared parameters here
xmin=Min, xmax=Max,
ymin=Min, ymax=Max,
domain=Min:Max,
% because we only want to draw straight lines, we only need 2 samples
samples=2,
% if the difference between the values on the x- and y-axis should have the same length ...
axis equal image,
]
% draw the diagonal
addplot [black] {x};
% draw the error lines ...
addplot [dashed] {(1+Error)*x}
% ... together with the corresponding nodes
node [pos=NodePos,above left] {%
pgfmathparse{Error*100}%
$+pgfmathprintnumber{pgfmathresult}%$%
}
;
addplot [dashed] {(1-Error)*x}
node [pos=NodePos,below right] {%
pgfmathparse{Error*100}%
$-pgfmathprintnumber{pgfmathresult}%$%
}
;
% draw the data points
addplot [
scatter,
only marks,
scatter src=explicit symbolic,
] table [meta=label] {
x y label
0.002112423 0.000315235 a
0.008239025 0.018046369 a
0.062159889 0.043377048 a
0.208436752 0.228901981 a
0.001133101 0.000154947 a
0.040467529 0.027339084 a
0.089692556 0.064237734 a
0.28676767 0.31508994 a
0.002850088 0.000642276 a
0.021743629 0.024458691 a
0.079502818 0.057741852 a
0.254297655 0.287565373 a
0.000380747 0.000164715 a
0.032442275 0.030100629 a
0.094151846 0.069629312 a
0.294738866 0.324776721 a
0.00304861 0.000381536 a
0.019427897 0.020999092 a
0.062143477 0.048076131 a
0.194015639 0.216910177 a
0.003349286 0.000441544 a
0.020499155 0.022771878 a
0.067614017 0.051923091 a
0.207662339 0.231218823 a
0.003266332 0.00034481 a
0.035174329 0.026984827 a
0.081134664 0.060966461 a
0.244687574 0.263579365 a
0.003885047 0.000548398 a
0.026061176 0.02816921 a
0.083494892 0.064074034 a
0.254794902 0.283107698 a
0.00319197 0.00052752 a
0.026602327 0.02220633 a
0.069674766 0.050513108 a
0.207840599 0.223222373 a
0.012393 0.017580388 b
0.033038 0.080750236 b
0.015539 0.000107785 b
0.012579 0.054686291 b
0.102741 0.099809908 b
0.66043 0.643811883 b
0.16328 0.103253509 b
0.004 0.002069047 b
0.0084 0.028962671 b
0.0043 0.000156147 b
0.003 0.020684598 b
0.0978 0.106905039 b
0.7013 0.714270297 b
0.1812 0.126952202 b
0.0091 0.015147325 b
0.0297 0.077014777 b
0.0171 0.000147157 b
0.0091 0.056200871 b
0.0982 0.099332905 b
0.6678 0.633262363 b
0.169 0.118894602 b
0.0045 0.000940978 b
0.01 0.01989367 b
0.0073 0.000192736 b
0.0027 0.014700027 b
0.1102 0.10791124 b
0.688 0.715603802 b
0.1773 0.140757548 b
0.0092 0.017839841 b
0.0299 0.075399115 b
0.015 0.000180757 b
0.0115 0.055440993 b
0.0996 0.093268175 b
0.6664 0.631287207 b
0.1684 0.126583912 b
0.0138 0.022462525 b
0.036 0.082664867 b
0.0165 0.000171887 b
0.0144 0.05990831 b
0.0968 0.09266199 b
0.6564 0.618675107 b
0.1661 0.123455313 b
0.0136 0.013257438 b
0.0316 0.063599076 b
0.0145 0.000197003 b
0.0125 0.046716642 b
0.1001 0.09503671 b
0.6503 0.647679584 b
0.1774 0.133513547 b
0.0127 0.016519353 b
0.0302 0.072784494 b
0.0142 0.000194035 b
0.0118 0.054135158 b
0.1024 0.093932615 b
0.6565 0.63106802 b
0.1722 0.131366325 b
0.013 0.016654323 b
0.0336 0.073114749 b
0.0154 0.000194379 b
0.0136 0.055035497 b
0.0924 0.09886295 b
0.6443 0.619629408 b
0.1877 0.136508694 b
0.024 0.006083101 c
0.223 0.18314527 c
0.59 0.606819403 c
0.163 0.146526013 c
0.024 0.007344733 c
0.223 0.196607483 c
0.59 0.584792817 c
0.163 0.144862825 c
0.024 0.007817225 c
0.223 0.20413853 c
0.59 0.582885899 c
0.163 0.142905491 c
0.024 0.008610924 c
0.223 0.208141813 c
0.59 0.569981623 c
0.163 0.143373566 c
0.024 0.00897616 c
0.223 0.207996045 c
0.59 0.565291614 c
0.163 0.144368047 c
0.024 0.008844303 c
0.223 0.205857591 c
0.59 0.570027159 c
0.163 0.144996868 c
0.024 0.009433456 c
0.223 0.210055677 c
0.59 0.562714293 c
0.163 0.144459927 c
0.024 0.009496595 c
0.223 0.212698833 c
0.59 0.560711551 c
0.163 0.14351753 c
0.024 0.010050341 c
0.223 0.219992169 c
0.59 0.567247848 c
0.163 0.141241314 c
};
end{axis}
end{tikzpicture}
end{document}
answered Jan 18 at 6:12
Stefan PinnowStefan Pinnow
20.1k83276
add a comment |
1
1
1
I think you want to draw a parity plot. For that no regression is needed; you just need to plot straight lines which is a very easy task.
For more details please have a look at the comments in the code.
% used PGFPlots v1.16
documentclass[border=5pt]{standalone}
usepackage{pgfplots}
begin{document}
begin{tikzpicture}[
% define some parameters so one does not have to repeat it over and over again
/pgf/declare function={
Min = 0;
Max = 0.8;
Error = 0.05;
NodePos = 0.8;
},
]
begin{axis}[
scatter/classes={
a={mark=square*,blue},
b={mark=triangle*,red},
c={mark=o,draw=black}%
},
% use the above declared parameters here
xmin=Min, xmax=Max,
ymin=Min, ymax=Max,
domain=Min:Max,
% because we only want to draw straight lines, we only need 2 samples
samples=2,
% if the difference between the values on the x- and y-axis should have the same length ...
axis equal image,
]
% draw the diagonal
addplot [black] {x};
% draw the error lines ...
addplot [dashed] {(1+Error)*x}
% ... together with the corresponding nodes
node [pos=NodePos,above left] {%
pgfmathparse{Error*100}%
$+pgfmathprintnumber{pgfmathresult}%$%
}
;
addplot [dashed] {(1-Error)*x}
node [pos=NodePos,below right] {%
pgfmathparse{Error*100}%
$-pgfmathprintnumber{pgfmathresult}%$%
}
;
% draw the data points
addplot [
scatter,
only marks,
scatter src=explicit symbolic,
] table [meta=label] {
x y label
0.002112423 0.000315235 a
0.008239025 0.018046369 a
0.062159889 0.043377048 a
0.208436752 0.228901981 a
0.001133101 0.000154947 a
0.040467529 0.027339084 a
0.089692556 0.064237734 a
0.28676767 0.31508994 a
0.002850088 0.000642276 a
0.021743629 0.024458691 a
0.079502818 0.057741852 a
0.254297655 0.287565373 a
0.000380747 0.000164715 a
0.032442275 0.030100629 a
0.094151846 0.069629312 a
0.294738866 0.324776721 a
0.00304861 0.000381536 a
0.019427897 0.020999092 a
0.062143477 0.048076131 a
0.194015639 0.216910177 a
0.003349286 0.000441544 a
0.020499155 0.022771878 a
0.067614017 0.051923091 a
0.207662339 0.231218823 a
0.003266332 0.00034481 a
0.035174329 0.026984827 a
0.081134664 0.060966461 a
0.244687574 0.263579365 a
0.003885047 0.000548398 a
0.026061176 0.02816921 a
0.083494892 0.064074034 a
0.254794902 0.283107698 a
0.00319197 0.00052752 a
0.026602327 0.02220633 a
0.069674766 0.050513108 a
0.207840599 0.223222373 a
0.012393 0.017580388 b
0.033038 0.080750236 b
0.015539 0.000107785 b
0.012579 0.054686291 b
0.102741 0.099809908 b
0.66043 0.643811883 b
0.16328 0.103253509 b
0.004 0.002069047 b
0.0084 0.028962671 b
0.0043 0.000156147 b
0.003 0.020684598 b
0.0978 0.106905039 b
0.7013 0.714270297 b
0.1812 0.126952202 b
0.0091 0.015147325 b
0.0297 0.077014777 b
0.0171 0.000147157 b
0.0091 0.056200871 b
0.0982 0.099332905 b
0.6678 0.633262363 b
0.169 0.118894602 b
0.0045 0.000940978 b
0.01 0.01989367 b
0.0073 0.000192736 b
0.0027 0.014700027 b
0.1102 0.10791124 b
0.688 0.715603802 b
0.1773 0.140757548 b
0.0092 0.017839841 b
0.0299 0.075399115 b
0.015 0.000180757 b
0.0115 0.055440993 b
0.0996 0.093268175 b
0.6664 0.631287207 b
0.1684 0.126583912 b
0.0138 0.022462525 b
0.036 0.082664867 b
0.0165 0.000171887 b
0.0144 0.05990831 b
0.0968 0.09266199 b
0.6564 0.618675107 b
0.1661 0.123455313 b
0.0136 0.013257438 b
0.0316 0.063599076 b
0.0145 0.000197003 b
0.0125 0.046716642 b
0.1001 0.09503671 b
0.6503 0.647679584 b
0.1774 0.133513547 b
0.0127 0.016519353 b
0.0302 0.072784494 b
0.0142 0.000194035 b
0.0118 0.054135158 b
0.1024 0.093932615 b
0.6565 0.63106802 b
0.1722 0.131366325 b
0.013 0.016654323 b
0.0336 0.073114749 b
0.0154 0.000194379 b
0.0136 0.055035497 b
0.0924 0.09886295 b
0.6443 0.619629408 b
0.1877 0.136508694 b
0.024 0.006083101 c
0.223 0.18314527 c
0.59 0.606819403 c
0.163 0.146526013 c
0.024 0.007344733 c
0.223 0.196607483 c
0.59 0.584792817 c
0.163 0.144862825 c
0.024 0.007817225 c
0.223 0.20413853 c
0.59 0.582885899 c
0.163 0.142905491 c
0.024 0.008610924 c
0.223 0.208141813 c
0.59 0.569981623 c
0.163 0.143373566 c
0.024 0.00897616 c
0.223 0.207996045 c
0.59 0.565291614 c
0.163 0.144368047 c
0.024 0.008844303 c
0.223 0.205857591 c
0.59 0.570027159 c
0.163 0.144996868 c
0.024 0.009433456 c
0.223 0.210055677 c
0.59 0.562714293 c
0.163 0.144459927 c
0.024 0.009496595 c
0.223 0.212698833 c
0.59 0.560711551 c
0.163 0.14351753 c
0.024 0.010050341 c
0.223 0.219992169 c
0.59 0.567247848 c
0.163 0.141241314 c
};
end{axis}
end{tikzpicture}
end{document}
answered Jan 18 at 6:12
Stefan PinnowStefan Pinnow
20.1k83276
I think you want to draw a parity plot. For that no regression is needed; you just need to plot straight lines which is a very easy task.
For more details please have a look at the comments in the code.
% used PGFPlots v1.16
documentclass[border=5pt]{standalone}
usepackage{pgfplots}
begin{document}
begin{tikzpicture}[
% define some parameters so one does not have to repeat it over and over again
/pgf/declare function={
Min = 0;
Max = 0.8;
Error = 0.05;
NodePos = 0.8;
},
]
begin{axis}[
scatter/classes={
a={mark=square*,blue},
b={mark=triangle*,red},
c={mark=o,draw=black}%
},
% use the above declared parameters here
xmin=Min, xmax=Max,
ymin=Min, ymax=Max,
domain=Min:Max,
% because we only want to draw straight lines, we only need 2 samples
samples=2,
% if the difference between the values on the x- and y-axis should have the same length ...
axis equal image,
]
% draw the diagonal
addplot [black] {x};
% draw the error lines ...
addplot [dashed] {(1+Error)*x}
% ... together with the corresponding nodes
node [pos=NodePos,above left] {%
pgfmathparse{Error*100}%
$+pgfmathprintnumber{pgfmathresult}%$%
}
;
addplot [dashed] {(1-Error)*x}
node [pos=NodePos,below right] {%
pgfmathparse{Error*100}%
$-pgfmathprintnumber{pgfmathresult}%$%
}
;
% draw the data points
addplot [
scatter,
only marks,
scatter src=explicit symbolic,
] table [meta=label] {
x y label
0.002112423 0.000315235 a
0.008239025 0.018046369 a
0.062159889 0.043377048 a
0.208436752 0.228901981 a
0.001133101 0.000154947 a
0.040467529 0.027339084 a
0.089692556 0.064237734 a
0.28676767 0.31508994 a
0.002850088 0.000642276 a
0.021743629 0.024458691 a
0.079502818 0.057741852 a
0.254297655 0.287565373 a
0.000380747 0.000164715 a
0.032442275 0.030100629 a
0.094151846 0.069629312 a
0.294738866 0.324776721 a
0.00304861 0.000381536 a
0.019427897 0.020999092 a
0.062143477 0.048076131 a
0.194015639 0.216910177 a
0.003349286 0.000441544 a
0.020499155 0.022771878 a
0.067614017 0.051923091 a
0.207662339 0.231218823 a
0.003266332 0.00034481 a
0.035174329 0.026984827 a
0.081134664 0.060966461 a
0.244687574 0.263579365 a
0.003885047 0.000548398 a
0.026061176 0.02816921 a
0.083494892 0.064074034 a
0.254794902 0.283107698 a
0.00319197 0.00052752 a
0.026602327 0.02220633 a
0.069674766 0.050513108 a
0.207840599 0.223222373 a
0.012393 0.017580388 b
0.033038 0.080750236 b
0.015539 0.000107785 b
0.012579 0.054686291 b
0.102741 0.099809908 b
0.66043 0.643811883 b
0.16328 0.103253509 b
0.004 0.002069047 b
0.0084 0.028962671 b
0.0043 0.000156147 b
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};
end{axis}
end{tikzpicture}
end{document}
answered Jan 18 at 6:12
Stefan PinnowStefan Pinnow
20.1k83276
answered Jan 18 at 6:12
Stefan PinnowStefan Pinnow
20.1k83276
answered Jan 18 at 6:12
Stefan PinnowStefan Pinnow
20.1k83276
answered Jan 18 at 6:12
Stefan PinnowStefan Pinnow
20.1k83276
20.1k83276
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