Thank you so much for your input.
I am relatively new to R and I don't understand this "read.csv
returns data.frames". Sorry.
This however did not work. "unlist(x) and unlist(y)". I got a series
of 43 warnings:
Warning messages:
1: In doTryCatch(return(expr), name, parentenv, handler) :
? "method" is not a graphical parameter
2: In doTryCatch(return(expr), name, parentenv, handler) :
? "method" is not a graphical parameter
.
.
.
.
.
? "method" is not a graphical parameter
42: In doTryCatch(return(expr), name, parentenv, handler) :
? "method" is not a graphical parameter
43: In cbind(x, y) :
? number of rows of result is not a multiple of vector length (arg 2)
?
Would it help if I send the two csv files to you? I'd really
appreciate your help.
Thanking you
?
-------------------------
FROM: ruipbarradas at sapo.pt <ruipbarradas at sapo.pt>
SENT: Wednesday, September 20, 2017 5:21:04 PM
TO: Chaitanya Ganne
SUBJECT: Re: rcorr error in R stat
Hello,
Maybe I'm completely off, but read.csv returns data.frames, which
are lists with a dim attribute.
Instead of as.vector try unlist(x) and unlist(y).
Note that if 'df' is a data.frame, class(as.vector(df)) returns "data.frame".
Hope this helps,
Rui Barradas
?
Citando Chaitanya Ganne <Chaitanya.Ganne at jefferson.edu>:
Good afternoon,?
I have two variables x and y. I am trying to run a correlation
between them as vectors.?
x <- read.csv(file.choose(NPA.csv))
y <- read.csv(file.choose(GT.csv))
res <- cor(as.vector(x), as.vector(y))
round(res, 2)
install.packages("Hmisc")
library(Hmisc)
res2 <- rcorr(as.vector(x), as.vector(y))
res2 <- rcorr(as.vector(x), as.vector(y))
Error in storage.mode(x) <- "double" :?
?(list) object cannot be coerced to type 'double'
?
---------------------------------------------------
In fact I find this is something to do with the way the matrices
are being considered for rcorr to be different from the way the
matrices are being considered for 'cor'. The cor function gave me
this output as mentioned below. However I am using the rcorr
function to build the correlplots later on.
? ? ? ? ? ?
BC_11L_parstriangularis_1 BC_12L_rostralmiddlefrontal_2
BC_20L_fusiform_4 BC_21L_inferiortemporal_3
BC_23L_middletemporal_1 vw_12L_rostralmiddlefrontal_2
vw_19L_inferiorparietal_1
CVLT_T4 -0.23 0.13 -0.01 -0.24 -0.14 0.02 0.06
CVLT_T5 -0.28 0.12 0.04 -0.25 -0.19 0.15 0.11
CVLT_Total -0.25 0.07 0.13 -0.25 -0.22 0.05 -0.05
CVLT_LDF -0.16 0.04 0.16 -0.23 -0.32 0.16 0.01
CVLT_RoF -0.12 0.02 0.06 -0.04 -0.14 0.16 -0.06
CVLT_TDR -0.11 0.1 0.13 -0.24 -0.25 0.25 -0.06
LM_I -0.46 -0.19 -0.11 -0.06 -0.24 -0.01 0.1
LM_II -0.35 0.06 0.05 -0.11 -0.31 0.22 0.05
p_REC -0.12 -0.27 0.36 -0.19 -0.09 -0.17 -0.21
TF -0.01 -0.01 -0.21 -0.2 -0.27 -0.07 0.06
?
Please help.
/DR. GANNE CHAITANYA MD, PHD/
/PDF?//NEUROLOGY/
/TJU,?//PHILADELPHIA, 19107, PA/
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