Hello,
The input must be a matrix, not a list (or its special case data.frame).
Var <- read.table(text="
D.Prime T.statistics
1 1.7234e-01 4.926800
2 1.4399e-01 2.892000
3 1.4626e-01 2.642800
4 3.5147e-02 1.112400
5 5.8957e-02 2.723700
", header=TRUE)
# library(Hmisc)
rc <- rcorr(as.matrix(Var), type="pearson")
# from recommended package stats
ct <- cor.test(Var$D.Prime, Var$T.statistics, method = "pearson")
rc$P
D.Prime T.statistics
D.Prime NA 0.1101842
T.statistics 0.1101842 NA
ct$p.value
[1] 0.1101842
To the op: you should say which library you are using. Even if Hmisc is
a very popular one.
Hope this helps,
Rui Barradas
Em 12-09-2012 16:10, R. Michael Weylandt escreveu:
On Wed, Sep 12, 2012 at 4:04 PM, Jason Love <jason.love1...@gmail.com> wrote:
Hello,
I'd like to test a significance of two variables in their correlation using
rcorr, which gave me an error of format incompatibility.
Below are the lines that I typed in the R window and let me know if anyone
knows how to resolve this.
Var=read.csv("03apr10ab_corr_matrix_in_overlaps.csv",header=F)
colnames(Var)=c("D Prime","T statistics")
D Prime T statistics
1 1.7234e-01 4.926800
2 1.4399e-01 2.892000
3 1.4626e-01 2.642800
4 3.5147e-02 1.112400
5 5.8957e-02 2.723700
rcorr(Var, type="pearson")
Untested (because I'm still without respectable internet after a move)
I believe rcorr would rather have a matrix than a data.frame(), which
is what read.csv produces, so try
Var <- as.matrix(Var)
or
rcorr(as.matrix(Var), type = "pearson")
Error in storage.mode(x) <- if (.R.) "double" else "single" :
(list) object cannot be coerced to type 'double'
This suggests that the input to rcorr is being converted to a double,
which isn't a valid storage.mode change for a list (= data frame).
Cheers,
M
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