similar to: coercion

inputfille snpid indid genotype gvariable probeid gene geneexpression rs1040480 CHB_NA18524 C/T 2 GI_19743926-I PTPRT 5.850586 rs1040480 CHB_NA18526 C/C 1 GI_19743926-I PTPRT 6.028641 rs1040480 CHB_NA18529 C/C 3 GI_19743926-I PTPRT 5.944392 rs1040481 CHB_NA18532 C/C 1 GI_19743926-I PTPRT 5.938578 rs1040481 CHB_NA18537 C/C 2 GI_19743926-I PTPRT 5.874439 rs1040481 CHB_NA18540 C/C 3 GI_19743926-I

Hi, I have a dataframe that I imported from a .txt file by: skogTemp <- read.delim2("Skogaryd_shoot_data.txt", header=TRUE, fill=TRUE) and the data are factors, how can avoid factors from the beginning? Although the file contains both characters and numbers. I tried to convert some of the columns from factor to numeric and as I understood it you can not use only as.numeric but

Dear list, I hope this is the right place to post a feature request. If there's exists a more formal channel (e.g. as for bug reports), I'd appreciate a pointer. I work a lot with named nested lists with arbitrary degrees of "nestedness". In order to retrieve the names and/or values of "bottom layer/bottom tier", I love the functionality of 'unlist()', or

Dear list, I need to change a value within a particular line of a plain text file with characters and numbers, and I haven't found any way of doing this by using R. What I have a is a file that doesn't have tabular data (so, I think that 'read.table' or 'read.delim' are not the right tools for this), but some text, and I now exactly the row that has to be modified and the

Hello, I would like to read sets of files within a folder, perhaps using recursive methods. Right now, I rename the files before import. It would be even better to do this without renaming files, without providing explicit filenames, perhaps by importing files based on chronology, and translating each filename into a header? Please excuse my ignorance, and help cure my clunky programming

Hi, I have not get much response for my question about read.table for couple of days ago. As I said, the problem is that read.delim() do not want to read more than 51 lines of data, with longer file it reads the first column as row names, although I have not noticed any special binary symbols around line 51 either. This problem seems to happen with this particular file, I could easily read in a

Hello, I used read.xlsx to read in Excel files but for large files it turned out to be not very efficient. For that reason I use a programme which writes each sheet in an Excel file into tab-delim txt files. After that I tried using read.table and read.delim to read in those txt files. Unfortunately, the results are not as expected. To show you what I mean I created a tiny Excel sheet with some

Is there a way in R (12.x) to avoid the implicit coercion of factors to integers in the context of subscripts? If this is not possible, is there a way to get at least a warning, if any coercion of this type happens, given that the action of this coercion is almost never what is wanted? Of course, in the rare case that as.integer() is applied explicitly onto a factor, the warning is not needed,

Hi all, The coercion function defined for the ALTREP object will not be called by R when an assignment operation implicitly introduces coercion for a large ALTREP object. For example, If I create a vector of length 10, the ALTREP coercion function seems to work fine. ``` > x <- 1:10 > y <- wrap_altrep(x) > .Internal(inspect(y)) @0x000000001f9271c0 13 INTSXP g0c0 [REF(2)] I am

Hi, I am looking into a way to hook into the R coercion framework to allow me to convert table-like data stored within a COM object into a data.frame. Some of our COM objects have their own table-like data storage, and from R's point of view it's an object (EXTPTRSXP) decoarated with a sepcial symbol so we can easily identify it. COM_Table <- a_method_that_creates_the_object()

Hi I noticed a small inconsistency when using sum() vs cumsum() I have a char-based series > tryjpy$long [1] "0.0022" "-0.0002" "-0.0149" "-0.0023" "-0.0342" "-0.0245" "-0.0022" [8] "0.0003" "-0.0001" "-0.0004" "-0.0036" "-0.001" "-0.0011"

Hi R users I am wondering how I can avoid automatic coercion of my numeric vector elements to character init <- c(age='N', R=as.numeric(0.5), S=as.numeric(0.8)) I have used as.numeric() but it does not seem to work Thank you Lorenzo [[alternative HTML version deleted]]

I work with Windows and use R version 2.4.1. I am JUST starting to learn this program... I get this warning message 'NAs introduced by coercion' while trying to build a distance matrix (to be analyzed with NMDS later) from a 336 x 100 data matrix. The original matrix has lots of zeros and no missing values, but I don't think this should matter. I searched this forum and people have

Dear Rs: Hi, I am trying to read a big text file (nrows=243440, ncols=144). It seems the computational time of all the read methods (scan,readtable,read.delim) is not linear to the number of rows I want to read in: things became really slow once I tried to read in 100000 lines compare to 10000 lines). If I am reading the profiling result right, I guess scan wouldn't help either. My

Hi, It would be great if someone would add write.delim() as an adjunct to write.table(), just as with write.csv(). I store a lot of data in tab-delimited files and can read it in easily with: read.delim("text.txt", as.is=TRUE) and would love to be able to write it out as easily when I create these files. The obvious setting needed for write.delim() is sep = "\t", but in

Hi Given that things like the following work > a <- c("-.1"," 2.7 ","B") > a [1] "-.1" " 2.7 " "B" > as.numeric(a) [1] -0.1 2.7 NA Warning message: NAs introduced by coercion > I naively expected that the following would behave differently. > b <- c('10%', '-20%', '30.0%',

Dear R experts, I have a dataframe imported from a csv file (with read.csv). Here is an example: yyyymm<- c("19860228", "19860331","19860430","19860531") id<-c("10000","10000","10000","10000") re<- c("C","0.25", "0.98", "1.34") mret<-data.frame(yyyymm, id, re)

>>>>> Tomas Kalibera >>>>> on Tue, 25 Aug 2020 09:29:05 +0200 writes: > On 8/23/20 5:02 PM, Rory Winston wrote: >> Hi >> >> I noticed a small inconsistency when using sum() vs cumsum() >> >> I have a char-based series >> >> > tryjpy$long >> >> [1]

I have a very large tab-delimited file, too big to store in memory via readLines() or read.delim(). Turns out I only need a few hundred of those lines to be read in. If it were not so large, I could read the entire file in and "grep" the lines I need. For such a large file; many calls to read.delim() with incrementing "skip" and "nrows" parameters, followed by grep()

How do I fix this error ? I tried coercion to a vector but that didn't work. msci <-read.csv("..MSCIexUS.csv", header=TRUE) head(msci) Date index 1 Dec 31, 1969 100 2 Jan 30, 1970 97.655 3 Feb 27, 1970 96.154 4 Mar 31, 1970 95.857 5 Apr 30, 1970 85.564 6 May 29, 1970 79.005 > str(msci) 'data.frame': 510 obs. of 2 variables: $ Date : Factor w/ 510