Mixing
Add Color to classes in scatterplot matrix (pairs)
I have my class defined in "unscaled.BL_yFYield_CSUSHPINSA" (basically, 1:up 0:down). I wish to color the scatterplot into classes akin to how this example demonstrates species are supposedly highlighted by 3 colors (note, I've reduced my example to two colors).
http://www.sthda.com/english/wiki/scatter-plot-matrices-r-base-graphs
this image specifically is what I'm trying to achieve (coloring based on my_cols and a categorical variable). In the iris example, I only saw two species (when I iterated iris$species), but the online code uses 3 colors in the graph, so I'm not sure how that works data.
My example I have two colors for two classes (however, eventually I wish to extend my number of classes beyond 2).
Example, assuming BL_yFYield_CSUSHPINSA had the following values for categorical 0, 1, 2 and I had 3 colors defined in my_cols.
Right now when I graph the output, this is what I get
pre_MyData <- read.csv(file="https://raw.githubusercontent.com/thistleknot/FredAPIR/master/reduced.csv", header=TRUE, sep=",")
MyData <- pre_MyData[,11:18]
my_cols <- c("#00AFBB", "#E7B800")
pairs(MyData[,1:8], pch = 19, cex = 0.5,
col = my_cols[MyData$unscaled.BL_yFYield_CSUSHPINSA],
lower.panel = NULL)
categorical-data
asked Jan 1 at 18:31
thistleknotthistleknot
427621
add a comment |
I have my class defined in "unscaled.BL_yFYield_CSUSHPINSA" (basically, 1:up 0:down). I wish to color the scatterplot into classes akin to how this example demonstrates species are supposedly highlighted by 3 colors (note, I've reduced my example to two colors).
http://www.sthda.com/english/wiki/scatter-plot-matrices-r-base-graphs
this image specifically is what I'm trying to achieve (coloring based on my_cols and a categorical variable). In the iris example, I only saw two species (when I iterated iris$species), but the online code uses 3 colors in the graph, so I'm not sure how that works data.
My example I have two colors for two classes (however, eventually I wish to extend my number of classes beyond 2).
Example, assuming BL_yFYield_CSUSHPINSA had the following values for categorical 0, 1, 2 and I had 3 colors defined in my_cols.
Right now when I graph the output, this is what I get
pre_MyData <- read.csv(file="https://raw.githubusercontent.com/thistleknot/FredAPIR/master/reduced.csv", header=TRUE, sep=",")
MyData <- pre_MyData[,11:18]
my_cols <- c("#00AFBB", "#E7B800")
pairs(MyData[,1:8], pch = 19, cex = 0.5,
col = my_cols[MyData$unscaled.BL_yFYield_CSUSHPINSA],
lower.panel = NULL)
categorical-data
asked Jan 1 at 18:31
thistleknotthistleknot
427621
add a comment |
I have my class defined in "unscaled.BL_yFYield_CSUSHPINSA" (basically, 1:up 0:down). I wish to color the scatterplot into classes akin to how this example demonstrates species are supposedly highlighted by 3 colors (note, I've reduced my example to two colors).
http://www.sthda.com/english/wiki/scatter-plot-matrices-r-base-graphs
this image specifically is what I'm trying to achieve (coloring based on my_cols and a categorical variable). In the iris example, I only saw two species (when I iterated iris$species), but the online code uses 3 colors in the graph, so I'm not sure how that works data.
My example I have two colors for two classes (however, eventually I wish to extend my number of classes beyond 2).
Example, assuming BL_yFYield_CSUSHPINSA had the following values for categorical 0, 1, 2 and I had 3 colors defined in my_cols.
Right now when I graph the output, this is what I get
pre_MyData <- read.csv(file="https://raw.githubusercontent.com/thistleknot/FredAPIR/master/reduced.csv", header=TRUE, sep=",")
MyData <- pre_MyData[,11:18]
my_cols <- c("#00AFBB", "#E7B800")
pairs(MyData[,1:8], pch = 19, cex = 0.5,
col = my_cols[MyData$unscaled.BL_yFYield_CSUSHPINSA],
lower.panel = NULL)
categorical-data
asked Jan 1 at 18:31
thistleknotthistleknot
427621
I have my class defined in "unscaled.BL_yFYield_CSUSHPINSA" (basically, 1:up 0:down). I wish to color the scatterplot into classes akin to how this example demonstrates species are supposedly highlighted by 3 colors (note, I've reduced my example to two colors).
http://www.sthda.com/english/wiki/scatter-plot-matrices-r-base-graphs
this image specifically is what I'm trying to achieve (coloring based on my_cols and a categorical variable). In the iris example, I only saw two species (when I iterated iris$species), but the online code uses 3 colors in the graph, so I'm not sure how that works data.
My example I have two colors for two classes (however, eventually I wish to extend my number of classes beyond 2).
Example, assuming BL_yFYield_CSUSHPINSA had the following values for categorical 0, 1, 2 and I had 3 colors defined in my_cols.
Right now when I graph the output, this is what I get
pre_MyData <- read.csv(file="https://raw.githubusercontent.com/thistleknot/FredAPIR/master/reduced.csv", header=TRUE, sep=",")
MyData <- pre_MyData[,11:18]
my_cols <- c("#00AFBB", "#E7B800")
pairs(MyData[,1:8], pch = 19, cex = 0.5,
col = my_cols[MyData$unscaled.BL_yFYield_CSUSHPINSA],
lower.panel = NULL)
categorical-data
categorical-data
asked Jan 1 at 18:31
thistleknotthistleknot
427621
asked Jan 1 at 18:31
thistleknotthistleknot
427621
edited Jan 1 at 19:30
thistleknot
asked Jan 1 at 18:31
thistleknotthistleknot
427621
asked Jan 1 at 18:31
thistleknotthistleknot
427621
asked Jan 1 at 18:31
thistleknotthistleknot
427621
427621
add a comment |
add a comment |
1 Answer
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I thought about it. The answer was in my screenshot. my_cols is skipping values with 0 in BL_yfield... (treating it as null). I could try to fix it after the fax, or I could add 1 to my original dataset to remove 0's...
problem solved
pre_MyData <- read.csv(file="https://raw.githubusercontent.com/thistleknot/FredAPIR/master/reduced.csv", header=TRUE, sep=",")
MyData <- pre_MyData[,11:18]
my_cols <- c("#00AFBB", "#E7B800")
pairs(MyData[,1:8], pch = 19, cex = 0.5,
col = my_cols[MyData$unscaled.BL_yFYield_CSUSHPINSA+1],
lower.panel = NULL)
answered Jan 1 at 19:40
thistleknotthistleknot
427621
add a comment |
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1 Answer
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active
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votes
1 Answer
1
active
oldest
votes
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oldest
votes
I thought about it. The answer was in my screenshot. my_cols is skipping values with 0 in BL_yfield... (treating it as null). I could try to fix it after the fax, or I could add 1 to my original dataset to remove 0's...
problem solved
pre_MyData <- read.csv(file="https://raw.githubusercontent.com/thistleknot/FredAPIR/master/reduced.csv", header=TRUE, sep=",")
MyData <- pre_MyData[,11:18]
my_cols <- c("#00AFBB", "#E7B800")
pairs(MyData[,1:8], pch = 19, cex = 0.5,
col = my_cols[MyData$unscaled.BL_yFYield_CSUSHPINSA+1],
lower.panel = NULL)
answered Jan 1 at 19:40
thistleknotthistleknot
427621
add a comment |
I thought about it. The answer was in my screenshot. my_cols is skipping values with 0 in BL_yfield... (treating it as null). I could try to fix it after the fax, or I could add 1 to my original dataset to remove 0's...
problem solved
pre_MyData <- read.csv(file="https://raw.githubusercontent.com/thistleknot/FredAPIR/master/reduced.csv", header=TRUE, sep=",")
MyData <- pre_MyData[,11:18]
my_cols <- c("#00AFBB", "#E7B800")
pairs(MyData[,1:8], pch = 19, cex = 0.5,
col = my_cols[MyData$unscaled.BL_yFYield_CSUSHPINSA+1],
lower.panel = NULL)
answered Jan 1 at 19:40
thistleknotthistleknot
427621
add a comment |
I thought about it. The answer was in my screenshot. my_cols is skipping values with 0 in BL_yfield... (treating it as null). I could try to fix it after the fax, or I could add 1 to my original dataset to remove 0's...
problem solved
pre_MyData <- read.csv(file="https://raw.githubusercontent.com/thistleknot/FredAPIR/master/reduced.csv", header=TRUE, sep=",")
MyData <- pre_MyData[,11:18]
my_cols <- c("#00AFBB", "#E7B800")
pairs(MyData[,1:8], pch = 19, cex = 0.5,
col = my_cols[MyData$unscaled.BL_yFYield_CSUSHPINSA+1],
lower.panel = NULL)
answered Jan 1 at 19:40
thistleknotthistleknot
427621
I thought about it. The answer was in my screenshot. my_cols is skipping values with 0 in BL_yfield... (treating it as null). I could try to fix it after the fax, or I could add 1 to my original dataset to remove 0's...
problem solved
pre_MyData <- read.csv(file="https://raw.githubusercontent.com/thistleknot/FredAPIR/master/reduced.csv", header=TRUE, sep=",")
MyData <- pre_MyData[,11:18]
my_cols <- c("#00AFBB", "#E7B800")
pairs(MyData[,1:8], pch = 19, cex = 0.5,
col = my_cols[MyData$unscaled.BL_yFYield_CSUSHPINSA+1],
lower.panel = NULL)
answered Jan 1 at 19:40
thistleknotthistleknot
427621
answered Jan 1 at 19:40
thistleknotthistleknot
427621
answered Jan 1 at 19:40
thistleknotthistleknot
427621
answered Jan 1 at 19:40
thistleknotthistleknot
427621
427621
add a comment |
add a comment |
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