HI Jorge,
I was able to reproduce the error. The link below provides a way to adjust the
stack. I didn't test it.
http://stackoverflow.com/questions/14719349/error-c-stack-usage-is-too-close-to-the-limit
Also check this link
http://stackoverflow.com/questions/13245019/how-to-change-the-stac
Hi Arun,
Thank you very much for your suggestion.
While running some tests, I came across the following:
# sample data
n <- 2000
p <- 1000
x2 <- data.frame(variable = rep(paste0('x', 1:p), each = n), id =
rep(paste0('p', 1:p), n), outcome = sample(0:2, n*p, TRUE), rate =
runif(n*p, 0.5, 1))
str(
Hi Jorge,
You may try:
library(dplyr)
library(tidyr)
#Looks like this is faster than the other methods.
system.time({wide1 <- x2%>%
select(-rate) %>%
mutate(variable=factor(variable, levels=unique(variable)),id=factor(id,
levels=unique(id))) %>%
s
Dear R-help,
I am working with some data stored as "filename.txt.gz" in my working
directory.
After reading the data in using read.table(), I can see that each of them
has four columns (variable, id, outcome, and rate) and the following
structure:
# sample data
x2 <- data.frame(variable = rep(pas
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