If I have understood the request, I'm not sure that omitting all 0
pairs for each pair of columns makes much sense, but be that as it
may, here's another way to do it by using the 'FUN' argument of combn
to encapsulate any calculations that you do. I just use cor() as the
calculation -- you can use
Chapter 9 might be of interest:
https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/
And specifically, for funnel plots in R:
https://wviechtb.github.io/metafor/reference/funnel.html
Best,
Rob
On 7/25/2024 6:40 AM, Richard O'Keefe wrote:
I know you didn't want to stimulate discussion,
Às 20:47 de 25/07/2024, Yuan Chun Ding escreveu:
Hi Rui,
You are always very helpful!! Thank you,
I just modified your R codes to remove a row with zero values in both column
pair as below for my real data.
Ding
dat<-gene22mut.coded
r <- P <- matrix(NA, nrow = 22L, ncol = 22L,
Hi Rui,
You are always very helpful!! Thank you,
I just modified your R codes to remove a row with zero values in both column
pair as below for my real data.
Ding
dat<-gene22mut.coded
r <- P <- matrix(NA, nrow = 22L, ncol = 22L,
dimnames = list(names(dat), names(dat)))
for(i
HI Rui,
Thank you for the help!
You did not remove a row if zero values exist in both column pair, right?
Ding
From: Rui Barradas
Sent: Thursday, July 25, 2024 11:15 AM
To: Yuan Chun Ding ; r-help@r-project.org
Subject: Re: [R] please help generate a square correlation matrix
Às 17: 39 de 25
Às 17:39 de 25/07/2024, Yuan Chun Ding via R-help escreveu:
Hi R users,
I generated a square correlation matrix for the dat dataframe below;
dat<-data.frame(g1=c(1,0,0,1,1,1,0,0,0),
g2=c(0,1,0,1,0,1,1,0,0),
g3=c(1,1,0,0,0,1,0,0,0),
g4=c(0,1,0,1,
Hi R users,
I generated a square correlation matrix for the dat dataframe below;
dat<-data.frame(g1=c(1,0,0,1,1,1,0,0,0),
g2=c(0,1,0,1,0,1,1,0,0),
g3=c(1,1,0,0,0,1,0,0,0),
g4=c(0,1,0,1,1,1,1,1,0))
library("Hmisc")
dat.rcorr = rcorr(as.matrix(dat))
da
I know you didn't want to stimulate discussion, but the problem is not
confined to publication. "Adverse reaction to medication" monitoring
programs are plagued by a similarly massive under-reporting problem:
adverse reactions are seldom reported unless they are particularly bad
or surprising. (T
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