[R] How to resolve the following error: (list) object cannot be coerced to type 'double'
ruipbarradas at sapo.pt
Wed Sep 12 17:32:03 CEST 2012
The input must be a matrix, not a list (or its special case data.frame).
Var <- read.table(text="
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
rc <- rcorr(as.matrix(Var), type="pearson")
# from recommended package stats
ct <- cor.test(Var$D.Prime, Var$T.statistics, method = "pearson")
D.Prime NA 0.1101842
T.statistics 0.1101842 NA
To the op: you should say which library you are using. Even if Hmisc is
a very popular one.
Hope this helps,
Em 12-09-2012 16:10, R. Michael Weylandt escreveu:
> On Wed, Sep 12, 2012 at 4:04 PM, Jason Love <jason.love1492 at gmail.com> wrote:
>> 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.
>> 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)
> 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).
>> [[alternative HTML version deleted]]
>> R-help at r-project.org mailing list
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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