R combination of variables in heatmap
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I have the following data 1 (excerpt) which I collected in interviews. 1 means the interviewee was affirmative, 0 means not, NA means no answer. Now I want to know for every pairwise combination of variables (R-Skills, C++-Skills, LikesPoetry) the number of affirmative answers in both categories like in this table 2. And lastly, I want to have that table 2 plotted as a heat map in R.
In order to create that table 2 I tried count() from plyr which gives me the frequency when I pass on the combinations in a vector. However, my original table has many more variables.
library(plyr)
count(dta, vars = c("R.Skills", "C...Skills"))
R.Skills C...Skills freq
1 0 0 1
2 1 1 2
3 NA 1 1
Thank you for your help!
Edit: I found a solution. However, a quite complicated one. If you have a more elegant solution please let me know.
I generate the total of each column and put it together into a data frame
rbind(t(cbind(colSums(dta[dta$C...Skills==1,], na.rm = TRUE)))
,t(cbind(colSums(dta[dta$R.Skills==1,], na.rm = TRUE))))
r rstudio combinations heatmap
asked Nov 11 at 19:34
user7015
12
add a comment |
up vote
-3
down vote
favorite
I have the following data 1 (excerpt) which I collected in interviews. 1 means the interviewee was affirmative, 0 means not, NA means no answer. Now I want to know for every pairwise combination of variables (R-Skills, C++-Skills, LikesPoetry) the number of affirmative answers in both categories like in this table 2. And lastly, I want to have that table 2 plotted as a heat map in R.
In order to create that table 2 I tried count() from plyr which gives me the frequency when I pass on the combinations in a vector. However, my original table has many more variables.
library(plyr)
count(dta, vars = c("R.Skills", "C...Skills"))
R.Skills C...Skills freq
1 0 0 1
2 1 1 2
3 NA 1 1
Thank you for your help!
Edit: I found a solution. However, a quite complicated one. If you have a more elegant solution please let me know.
I generate the total of each column and put it together into a data frame
rbind(t(cbind(colSums(dta[dta$C...Skills==1,], na.rm = TRUE)))
,t(cbind(colSums(dta[dta$R.Skills==1,], na.rm = TRUE))))
r rstudio combinations heatmap
asked Nov 11 at 19:34
user7015
12
what have you tried so far? please provide a minimal, complete, and verifiable example
– landru27
Nov 11 at 19:55
@landru27: I edited the original post.
– user7015
Nov 11 at 20:27
Use dput() to provide us with a sample dataset that we can work with.
– wl1234
Nov 11 at 23:21
add a comment |
up vote
-3
down vote
favorite
up vote
-3
down vote
favorite
I have the following data 1 (excerpt) which I collected in interviews. 1 means the interviewee was affirmative, 0 means not, NA means no answer. Now I want to know for every pairwise combination of variables (R-Skills, C++-Skills, LikesPoetry) the number of affirmative answers in both categories like in this table 2. And lastly, I want to have that table 2 plotted as a heat map in R.
In order to create that table 2 I tried count() from plyr which gives me the frequency when I pass on the combinations in a vector. However, my original table has many more variables.
library(plyr)
count(dta, vars = c("R.Skills", "C...Skills"))
R.Skills C...Skills freq
1 0 0 1
2 1 1 2
3 NA 1 1
Thank you for your help!
Edit: I found a solution. However, a quite complicated one. If you have a more elegant solution please let me know.
I generate the total of each column and put it together into a data frame
rbind(t(cbind(colSums(dta[dta$C...Skills==1,], na.rm = TRUE)))
,t(cbind(colSums(dta[dta$R.Skills==1,], na.rm = TRUE))))
r rstudio combinations heatmap
asked Nov 11 at 19:34
user7015
12
I have the following data 1 (excerpt) which I collected in interviews. 1 means the interviewee was affirmative, 0 means not, NA means no answer. Now I want to know for every pairwise combination of variables (R-Skills, C++-Skills, LikesPoetry) the number of affirmative answers in both categories like in this table 2. And lastly, I want to have that table 2 plotted as a heat map in R.
In order to create that table 2 I tried count() from plyr which gives me the frequency when I pass on the combinations in a vector. However, my original table has many more variables.
library(plyr)
count(dta, vars = c("R.Skills", "C...Skills"))
R.Skills C...Skills freq
1 0 0 1
2 1 1 2
3 NA 1 1
Thank you for your help!
Edit: I found a solution. However, a quite complicated one. If you have a more elegant solution please let me know.
I generate the total of each column and put it together into a data frame
rbind(t(cbind(colSums(dta[dta$C...Skills==1,], na.rm = TRUE)))
,t(cbind(colSums(dta[dta$R.Skills==1,], na.rm = TRUE))))
r rstudio combinations heatmap
r rstudio combinations heatmap
asked Nov 11 at 19:34
user7015
12
asked Nov 11 at 19:34
user7015
12
edited Nov 14 at 22:47
asked Nov 11 at 19:34
user7015
12
asked Nov 11 at 19:34
user7015
12
asked Nov 11 at 19:34
user7015
12
12
what have you tried so far? please provide a minimal, complete, and verifiable example
– landru27
Nov 11 at 19:55
@landru27: I edited the original post.
– user7015
Nov 11 at 20:27
Use dput() to provide us with a sample dataset that we can work with.
– wl1234
Nov 11 at 23:21
add a comment |
what have you tried so far? please provide a minimal, complete, and verifiable example
– landru27
Nov 11 at 19:55
@landru27: I edited the original post.
– user7015
Nov 11 at 20:27
Use dput() to provide us with a sample dataset that we can work with.
– wl1234
Nov 11 at 23:21
what have you tried so far? please provide a minimal, complete, and verifiable example
– landru27
Nov 11 at 19:55
what have you tried so far? please provide a minimal, complete, and verifiable example
– landru27
Nov 11 at 19:55
@landru27: I edited the original post.
– user7015
Nov 11 at 20:27
@landru27: I edited the original post.
– user7015
Nov 11 at 20:27
Use dput() to provide us with a sample dataset that we can work with.
– wl1234
Nov 11 at 23:21
Use dput() to provide us with a sample dataset that we can work with.
– wl1234
Nov 11 at 23:21
add a comment |
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what have you tried so far? please provide a minimal, complete, and verifiable example
– landru27
Nov 11 at 19:55
@landru27: I edited the original post.
– user7015
Nov 11 at 20:27
Use dput() to provide us with a sample dataset that we can work with.
– wl1234
Nov 11 at 23:21