Hello,
You have set quanti.sup to retinol (df[[2]]), not age. In the code it's
quanti.sup=2.
Without data it's difficult to say but try changing it.
Hope this helps,
Rui Barradas
Às 08:15 de 09/01/22, Luigi Marongiu escreveu:
Hello,
I am trying to apply multiple correspondence analysis to a data frame
using the FactoMineR package following the post
http://sebastien.ledien.free.fr/unofficial_factominer/factosbest/dimensions-description.html
My data frame has this structure:
```
str(df)
'data.frame': 27 obs. of 33 variables:
$ id : int 1 6 9 10 11 12 13 36 40 49 ...
$ retinol : num 2.56 2.93 3.21 1.73 1.32 2.34 2.43 2.54 0.37 1.22 ...
...
$ age : int 60 63 66 72 64 73 66 68 72 59 ...
$ death : Factor w/ 2 levels "No","Yes": 1 2 1 1 2 1 1 2 1 1 ...
...
$ age_bin : Factor w/ 4 levels "<30","30-49",..: 3 3 3 4 3 4 3 3 4 3 ...
```
Thus, following the post, I have set the quantitative supplementary
column to `age` (df[10]) and then tested the factorial variables
(df[11:33) but:
```
res.mca = MCA(df, quanti.sup=2, quali.sup=c(11:33))
Error in dimnames(res) <- list(attributes(tab)$row.names, listModa) :
length of 'dimnames' [2] not equal to array extent
nrow(df[10])
[1] 27
nrow(df[11:33])
[1] 27
```
What would be the problem?
Thank you
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
