Hi
Here's my data:
data.frame(
stringsAsFactors = FALSE,
check.names = FALSE,
...1 = c("Correct", "Incorrect", "Nomatch", "Share"),
99p
= c(106, 111, 43, 126),
98p
= c(80, 116, 37, 153),
97p
= c(74, 122, 22, 168)
)
I want to create a contingency table, but when I write:
dt <- as.table(as.matrix(data))
I get a weird looking table:
dt
...1 99p 98p 97p
A Correct 106 80 74
B Incorrect 111 116 122
C Nomatch 43 37 22
D Share 126 153 168
I don't want those letters there (A,B,C,D). I only want the categories alone.
Thank you!!
Hi,
If I understand you correctly, you want to do this:
myData = data.frame(
stringsAsFactors = FALSE,
check.names = FALSE,
x = c("Correct", "Incorrect", "Nomatch", "Share"),
p99 = c(106, 111, 43, 126),
p98 = c(80, 116, 37, 153),
p97 = c(74, 122, 22, 168)
)
myTable = as.table(as.matrix(myData[,-1]))
rownames(myTable) = myData$x
myTable
#> p99 p98 p97
#> Correct 106 80 74
#> Incorrect 111 116 122
#> Nomatch 43 37 22
#> Share 126 153 168
Created on 2022-02-25 by the reprex package (v2.0.1)
So in this case the categories are the rownames of the tables and the table itself contains the values.
Hope this helps,
PJ
1 Like
system
Closed
4
This topic was automatically closed 7 days after the last reply. New replies are no longer allowed.
If you have a query related to it or one of the replies, start a new topic and refer back with a link.