similar to: Unexpected behaviour as.data.frame

If read.csv's colClasses= argument is NOT used then read.csv accepts double quoted numerics: 1: > read.csv(stdin()) 0: A,B 1: "1",1 2: "2",2 3: A B 1 1 1 2 2 2 However, if colClasses is used then it seems that it does not: > read.csv(stdin(), colClasses = "numeric") 0: A,B 1: "1",1 2: "2",2 3: Error in scan(file, what, nmax, sep,

Dear friends. With file( ) to obtain a pointer of a file, every time we use scan ( ) to read one row of it, the pointer will point to the next row of the file. In the following example, d1 and d2 are obtained the same way but they correspond to different rows of the same file because the pointer of the file moves down a row when a row of the file is read. The following is an example: a1

Thank you so much David, here is correction: d1=suppressWarnings(read.csv("/Users/anamaria/Downloads/B1.csv", stringsAsFactors=FALSE, header=TRUE)) d1$X <- NULL d2=as.matrix(sapply(d1, as.numeric)) pdf("~/graph.pdf") b<-barplot(d2, legend= c("SYCL", "CUDA"), beside= TRUE,las=2,cex.axis=0.7,cex.names=0.7,ylim=c(0,80), col=c("#9e9ac8",

Hi All, Can you please help me, why this code in not generating line chart? library(ggplot2) par(mfrow=c(1,3)) #qplot(TIME1, BASCHGA, data=Orange1, geom= c("point", "line"), colour= ACTTRT) unique(Orange1$REFID) -> refid for (i in refid) { Orange2 <- Orange1[i == Orange1$REFID, ] pdf('PGA.pdf') qplot(TIME1, BASCHGA, data=Orange2, geom= c("line"),

Hi! I have to import some TXT files into R, but the separation between the columns are made with different blank spaces, but each file use the same separation. Example: 31 104 5 0 11RUA SAO SEBASTIAO 25 BAIRRO FILETO 01

HI R-users, I am trying to repeat an example from Rayner and Best "A contingency table approach to nonparametric testing (Chapter 7, Ice cream example). In their book they calculate Durbin's statistic, D1, a dispersion statistics, D2, and a residual. P-values for each statistic is calculated from a chi-square distribution and also Monte Carlo p-values. I have found similar p-values

Dirk Eddelbuettel <edd at debian.org> schreef: > On 13 May 2015 at 17:27, Jan van der Laan wrote: > | > | I have some cpp-files from another library (boost) in a subdirectory > | in my src directory (src/boost_src). I include these using the > | following two lines in my Makevars: > | > | SOURCES = $(wildcard *.cpp boost_src/*.cpp) > | OBJECTS = $(SOURCES:.cpp=.o)

Hello R-Community, I have the following matching problem: I have two data.frames, one with an observation every month (per company ID), and one with an observation every quarter (per company ID; note that quarter means fiscal quarter; therefore 1Q = Jan, Feb, Mar is not necessarily correct and also, a fiscal quarter is not necessarily 3 month long). For every month and company, I want to get the

Dear R helpers I have following input f = c(257, 520, 110). I need to generate a decreasing sequence (decreasing by 100) which will give me an input (in a tabular form) like 257, 157, 57 520, 420, 320, 220, 120, 20 110, 10 I tried the following R code f = c(257, 520, 110) yy = matrix(data = NA, nrow = 3, ncol = 6) for (i in 1:3)      {      value = NULL      for (j in 1 : 6)           {

I understand that the two following loops should produce the exact same output. However, they do not. It appears that looping directly through the sequence of Date objects somehow makes them be coerced to numeric: > date1 = "20130301" > date2 = "20130302" > > d1 = as.Date(date1, format="%Y%m%d", tz="GMT") > d2 = as.Date(date2,

Hi R, I have two columns of date in a CSV file in the below format 29-Dec-06 25-Jan-07 29-Dec-06 25-Jan-07 29-Dec-06 25-Jan-07 2-Jan-07 25-Jan-07 2-Jan-07 25-Jan-07 2-Jan-07 25-Jan-07 I read in R using dat<-read.csv("Z:\\data.csv"). > class(dat[,1]) [1] "factor" So I use dat[,1]=as.Date(as.character(dat[,1]),"%d-%b-%YY") > class(dat[,1]) [1]

One other solution that's only a little crazy: you could have a R function within your package that generates the appropriate (portable) Makevars, and within the package `configure` script call that function. For example" R --vanilla --slave -e "source('R/makevars.R'); makevars()" And that 'makevars()' function could generate portable

Thanks. On 10/10/24 16:13, Jeff Newmiller wrote: > POSIXt vectors do not support different time zones element-to-element. > I complained about this on this list a couple of decades ago, and was chastised for it. Evidently handling timezones per element was considered to be too impractically slow to be a standard feature. This is where it is unclear to me what the purpose is of the

Thanks! I just figured it out (thanks to "Beyond Compare") and was coming here to post back. The boxM test doesn't work with that (now, finally working) REXP structure, but I probably now need to create a table or something and parse that structure. So much fun! :) Thanks again. - M Sent from [ProtonMail](https://protonmail.com), Swiss-based encrypted email. > --------

I get unexpected behavior from "readLines()" and "scan()" depending on how the file is opened with "gzfile" or "unz". More specifically: > file <- gzfile("file.gz") > readLines(file,1) [1] "a\tb\tc" > readLines(file,1) [1] "a\tb\tc" > close(file) It seems that the stream is rewound between calls to readLines.

Hi all, I am just wondering if there is a more efficient way of merging two large datasets based on the values of multiple columns, some of which are not numerical. The default merge function in dataframe is very inefficient and the merge function in data.table seems to be faster, but it does not seem to allow keys that are not numerical in nature. Any other suggestion? Thanks a lot!

Sys.setenv(TZ = "GMT") will set the local time zone to GMT so there would only be one time zone regardless of whether local or GMT were used. On Thu, Oct 10, 2024 at 11:17?AM Jan van der Laan <rhelp at eoos.dds.nl> wrote: > > Thanks. > > On 10/10/24 16:13, Jeff Newmiller wrote: > > POSIXt vectors do not support different time zones element-to-element. > >

I am using Samba with Active Directory. I have successfully joined my Samba server to the domain D1 ( net ads join -U username@D2.DOMAIN.COM ). I am able to succesfully connect from Windows XP clients ( with no password ), but not from Windows 2000 ( even when specifying a password ). With w2k, I always get "Failed to verify incoming ticket!". I think it has something to do with

I am experiencing some problems at working with lists at high level. In the following "coef" contains the original DWT coefficients organized in a list. Thorugh applying the following two commands: coef.abs <- lapply(unlist(coef,recursive=FALSE,use.names =TRUE),abs) coef.abs.sorted <- sort(unlist(coef.abs),decreasing=TRUE) I get vector "coef.abs.sorted" containing

Me: Win XP 4 gig ram R 2.9.2 library(foreign) # to read/write SPSS files library(doBy) # for summaryBy library(RODBC) setwd("C:\\Documents and Settings\\............00909BR") gc() memory.limit(size=4000) ## PROBLEM: I have memory limit problems. R and otherwise. My dataframes for merging or subsetting are about 300k to 900k records. I've had errors such as vector size too large.