Dear all,
I have a data frame with 2 columns and 102500 rows. The data looks like
below
V1V2
809811...
9099001100...
0023110011...
654511...
. .
. .
. .
. .
. .
I want to split the colu
Thank you for replies. I sort out the problem by defining the reassign
matrix.
Best Wishes,
efulas
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By the way, my "for" function is below, I can't find the mistake
rand.max.t<- function(n){
f<-rep(NA,n)
for (i in 1:n) {
reassign[i]<-matrix(c(sample(id),data1),203,3)
new.data<-reassign[,1]
random.cas=reassign[new.data==0,2:3]
random.con=reassign[new.data==1,2:3]
f<- list(x=random.cas[,1],y=ra
Dear All,
I have a codes which calculates the result of Ripley's K function of my
data. I want to repeat this process 999 times. However, i am getting an
error when i use the "for i in" function. Is there any way to repeat this
analysis 999 times. Here are the codes i used ;
data4 <- matrix(c(s
I am using the codes below,
options(max.print=5.5E5)
x=rep(1,1052)
b=read.fwf(file="efetez.binary", widths=c(6,x),header=FALSE)
and i get " C stack usage is too close to the limit" this error. I want to
get my data like ;
molecul id v1 v2 v3 .
190
Thank you very much for your helps guys. Both message help me to run the data
in R. However, R is omitting many columns from my data. Am i missing
something?
Many Thanks
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Dear All,
I have a problem with my data. First problem is that my data is really
large and R is omitting some columns from my data. Is there any way to read
the whole data without omitting. Another problem is that my data have 102k
columns and each column have active or inactive molecules. The da
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