Mixing
Setting up input to an R application using Shiny
I have a table like this:
Students(id, grade_course_a, grade_course_b, grade_course_c)
I would like to create a frequency test in R to see the correlation between any two courses. I know how to get the frequencies using table function in R. Now I would like the user to be able to select the courses via drop-down menus. From what I have seen, I need a UI file and a server file, but I have trouble understanding how to do it. Can you point me in the right direction?
r shiny shiny-server shinydashboard frequency-analysis
asked Nov 21 '18 at 17:59
Tapal GoosalTapal Goosal
807
add a comment |
I have a table like this:
Students(id, grade_course_a, grade_course_b, grade_course_c)
I would like to create a frequency test in R to see the correlation between any two courses. I know how to get the frequencies using table function in R. Now I would like the user to be able to select the courses via drop-down menus. From what I have seen, I need a UI file and a server file, but I have trouble understanding how to do it. Can you point me in the right direction?
r shiny shiny-server shinydashboard frequency-analysis
asked Nov 21 '18 at 17:59
Tapal GoosalTapal Goosal
807
1
You should start with a turorial, like we all did ;) shiny.rstudio.com/tutorial. If you come to the Point that you have build a Dashboard with a specific question, we are happy to help,...good luck!
– BigDataScientist
Nov 21 '18 at 19:07
add a comment |
I have a table like this:
Students(id, grade_course_a, grade_course_b, grade_course_c)
I would like to create a frequency test in R to see the correlation between any two courses. I know how to get the frequencies using table function in R. Now I would like the user to be able to select the courses via drop-down menus. From what I have seen, I need a UI file and a server file, but I have trouble understanding how to do it. Can you point me in the right direction?
r shiny shiny-server shinydashboard frequency-analysis
asked Nov 21 '18 at 17:59
Tapal GoosalTapal Goosal
807
I have a table like this:
Students(id, grade_course_a, grade_course_b, grade_course_c)
I would like to create a frequency test in R to see the correlation between any two courses. I know how to get the frequencies using table function in R. Now I would like the user to be able to select the courses via drop-down menus. From what I have seen, I need a UI file and a server file, but I have trouble understanding how to do it. Can you point me in the right direction?
r shiny shiny-server shinydashboard frequency-analysis
r shiny shiny-server shinydashboard frequency-analysis
asked Nov 21 '18 at 17:59
Tapal GoosalTapal Goosal
807
asked Nov 21 '18 at 17:59
Tapal GoosalTapal Goosal
807
asked Nov 21 '18 at 17:59
Tapal GoosalTapal Goosal
807
asked Nov 21 '18 at 17:59
Tapal GoosalTapal Goosal
807
asked Nov 21 '18 at 17:59
Tapal GoosalTapal Goosal
807
807
1
You should start with a turorial, like we all did ;) shiny.rstudio.com/tutorial. If you come to the Point that you have build a Dashboard with a specific question, we are happy to help,...good luck!
– BigDataScientist
Nov 21 '18 at 19:07
add a comment |
1
You should start with a turorial, like we all did ;) shiny.rstudio.com/tutorial. If you come to the Point that you have build a Dashboard with a specific question, we are happy to help,...good luck!
– BigDataScientist
Nov 21 '18 at 19:07
1
1
You should start with a turorial, like we all did ;) shiny.rstudio.com/tutorial. If you come to the Point that you have build a Dashboard with a specific question, we are happy to help,...good luck!
– BigDataScientist
Nov 21 '18 at 19:07
You should start with a turorial, like we all did ;) shiny.rstudio.com/tutorial. If you come to the Point that you have build a Dashboard with a specific question, we are happy to help,...good luck!
– BigDataScientist
Nov 21 '18 at 19:07
add a comment |
1 Answer
1
active
oldest
votes
For a simple visual inspection an interactive plot might be sufficient?
The traces can be hidden by clicking on the legend.
library(reshape2)
library(plotly)
Students <- data.frame(stud_id=seq(30), grade_course_a=round(runif(30, 1, 6)), grade_course_b=round(runif(30, 1, 6)), grade_course_c=round(runif(30, 1, 6)))
moltenStudents <- melt(Students, "stud_id", 2:ncol(Students))
moltenStudents$grade <- LETTERS[moltenStudents$value]
plot_ly(moltenStudents,
x = ~stud_id,
y = ~value,
color = ~variable,
text = ~grade,
type = 'scatter',
mode = 'lines'
)
answered Nov 21 '18 at 20:43
ismirsehregalismirsehregal
1,6321212
add a comment |
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1 Answer
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active
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1 Answer
1
active
oldest
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active
oldest
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active
oldest
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For a simple visual inspection an interactive plot might be sufficient?
The traces can be hidden by clicking on the legend.
library(reshape2)
library(plotly)
Students <- data.frame(stud_id=seq(30), grade_course_a=round(runif(30, 1, 6)), grade_course_b=round(runif(30, 1, 6)), grade_course_c=round(runif(30, 1, 6)))
moltenStudents <- melt(Students, "stud_id", 2:ncol(Students))
moltenStudents$grade <- LETTERS[moltenStudents$value]
plot_ly(moltenStudents,
x = ~stud_id,
y = ~value,
color = ~variable,
text = ~grade,
type = 'scatter',
mode = 'lines'
)
answered Nov 21 '18 at 20:43
ismirsehregalismirsehregal
1,6321212
add a comment |
For a simple visual inspection an interactive plot might be sufficient?
The traces can be hidden by clicking on the legend.
library(reshape2)
library(plotly)
Students <- data.frame(stud_id=seq(30), grade_course_a=round(runif(30, 1, 6)), grade_course_b=round(runif(30, 1, 6)), grade_course_c=round(runif(30, 1, 6)))
moltenStudents <- melt(Students, "stud_id", 2:ncol(Students))
moltenStudents$grade <- LETTERS[moltenStudents$value]
plot_ly(moltenStudents,
x = ~stud_id,
y = ~value,
color = ~variable,
text = ~grade,
type = 'scatter',
mode = 'lines'
)
answered Nov 21 '18 at 20:43
ismirsehregalismirsehregal
1,6321212
add a comment |
For a simple visual inspection an interactive plot might be sufficient?
The traces can be hidden by clicking on the legend.
library(reshape2)
library(plotly)
Students <- data.frame(stud_id=seq(30), grade_course_a=round(runif(30, 1, 6)), grade_course_b=round(runif(30, 1, 6)), grade_course_c=round(runif(30, 1, 6)))
moltenStudents <- melt(Students, "stud_id", 2:ncol(Students))
moltenStudents$grade <- LETTERS[moltenStudents$value]
plot_ly(moltenStudents,
x = ~stud_id,
y = ~value,
color = ~variable,
text = ~grade,
type = 'scatter',
mode = 'lines'
)
answered Nov 21 '18 at 20:43
ismirsehregalismirsehregal
1,6321212
For a simple visual inspection an interactive plot might be sufficient?
The traces can be hidden by clicking on the legend.
library(reshape2)
library(plotly)
Students <- data.frame(stud_id=seq(30), grade_course_a=round(runif(30, 1, 6)), grade_course_b=round(runif(30, 1, 6)), grade_course_c=round(runif(30, 1, 6)))
moltenStudents <- melt(Students, "stud_id", 2:ncol(Students))
moltenStudents$grade <- LETTERS[moltenStudents$value]
plot_ly(moltenStudents,
x = ~stud_id,
y = ~value,
color = ~variable,
text = ~grade,
type = 'scatter',
mode = 'lines'
)
answered Nov 21 '18 at 20:43
ismirsehregalismirsehregal
1,6321212
answered Nov 21 '18 at 20:43
ismirsehregalismirsehregal
1,6321212
answered Nov 21 '18 at 20:43
ismirsehregalismirsehregal
1,6321212
answered Nov 21 '18 at 20:43
ismirsehregalismirsehregal
1,6321212
1,6321212
add a comment |
add a comment |
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You should start with a turorial, like we all did ;) shiny.rstudio.com/tutorial. If you come to the Point that you have build a Dashboard with a specific question, we are happy to help,...good luck!
– BigDataScientist
Nov 21 '18 at 19:07