923 variables?
John
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On
> Behalf Of onyourmark
> Sent: April-20-09 7:48 PM
> To: r-help@r-project.org
> Subject: [R] factanal error
>
>
> Hi. I tried running
Hi. I tried running the following code. I don't understand the error.
mydata <- read.table("C:/dataForR/radiology/wordFrequencies.csv",
header=TRUE, sep=",")
> dim(mydata)
[1] 982 924
mydataN<-mydata[,-923]
> dim(mydataN)
[1] 982 923
cor(mydataN)
factanal(mydataN, factors=3)
Error in solve.d
At 17:51 06/10/2007, Steve Friedman wrote:
>Hi everyone,
>
>
>I'm running a factor analysis on a correlation matrix with 32 rows and
>columns.
>
>I get the following error when I issue the command sequence
>
>mich.fac1 <- factanal(michcor, factor=1)
>Error in solve.default(cv) : system is computati
Steve Friedman wrote:
> Hi everyone,
>
>
> I'm running a factor analysis on a correlation matrix with 32 rows and
> columns.
>
> I get the following error when I issue the command sequence
>
> mich.fac1 <- factanal(michcor, factor=1)
> Error in solve.default(cv) : system is computationally si
Hi everyone,
I'm running a factor analysis on a correlation matrix with 32 rows and
columns.
I get the following error when I issue the command sequence
mich.fac1 <- factanal(michcor, factor=1)
Error in solve.default(cv) : system is computationally singular: reciprocal
condition number = 3.2472
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