Displaying 5 results from an estimated 5 matches similar to: "Problem with xlsx package"
2011 Jan 21
1
Reading gz compressed csv file - 'incomplete line found'
Hi all,
I am trying to download, decompress and read a csv file. My code:
myurl <-
"ftp://ftp.ncbi.nih.gov/pub/geo/DATA/supplementary/series/GSE24729/GSE24729_MitoNuclear_suppl_male_stats.csv.gz"
#
myfile <- "GSE24729_MitoNuclear_suppl_male_stats.csv.gz"
#
download.file(myurl, destfile=myfile, mode="w")
#
mycon <- gzcon(gzfile(myfile,
2011 Jan 03
4
using "plot" with time series object - "axes = FALSE" option does not appear to work
Dear R-help,
I am attempting to plot data using standard R plot utilities. The
data was retrieved from FRED (St. Louis Federal Reserve) using the
package quantmod. My question is NOT about quantmod. While I
retrieve data using quantmod, I am not using its charting utility. I
have been having success using the standard R "plot" utilities to this
point with this type of data.
2012 Mar 21
0
runif error - maximum limit?
Dear all,
I am receiving the error below, I think because my n is exceeding the
allowable limit for a vector.
Can anyone confirm, and help with the following questions?
The function and error:
> stPte8 <- rtrunc(rnorm, nx * ny * nsimu, linf=0, mean=as.vector(PTmn),
> sd=as.vector(PTsd))
Error in runif(n, min = pinf, max = psup) : invalid arguments
My total n is calculated by:
nx=4053,
2011 Jan 21
0
Possible bug in Spearman correlation with use="pairwise.complete.obs"
Hi,
I have just encountered a strange behaviour from 'cor' with regards to
the treatment of NAs when calculating Spearman correlations. I guess it
is a subtle bug.
If I understand the help page correctly, the two modes 'complete.obs'
and 'pairwise.complete.obs' specify how to deal with correlation
coefficients when calculating a correlation _matrix_. When calculating
2010 Dec 02
1
The behaviour of read.csv().
I have recently been bitten by an aspect of the behaviour of
the read.csv() function.
Some lines in a (fairly large) *.csv file that I read in had
too many entries. I would have hoped that this would cause
read.csv() to throw an error, or at least issue a warning,
but it read the file without complaint, putting the extra
entries into an additional line.
This behaviour is illustrated by the toy