search for: asis

SVN?revision?77401?changes ????????x[isM]?<-?lapply(x[isM],?function(o)?`class<-`(o,?class(o)[class(o)?!=?"AsIs"])) to ????????x[isM]?<-?lapply(x[isM],?function(o)?`class<-`(o,?class(o)[!inherits(o,"AsIs")])) in?function?'get_all_vars'?in?src/library/stats/R/models.R?in?R?devel. The?change?is?inappropriate. class(o)[class(o)?!=?"AsIs"]?removes?"AsIs"?from?cl...

...Mon, 18 Nov 2019 12:15:38 +0100 writes: >>>>> suharto anggono--- via R-devel >>>>> on Sun, 17 Nov 2019 10:34:31 +0000 writes: >> SVN revision 77401 changes >> x[isM] <- lapply(x[isM], function(o) `class<-`(o, class(o)[class(o) != "AsIs"])) >> to >> x[isM] <- lapply(x[isM], function(o) `class<-`(o, class(o)[!inherits(o,"AsIs")])) >> in function 'get_all_vars' in src/library/stats/R/models.R in R devel. >> The change is inappropriate. >> class(o)[class...

...lme4_0.999375-32 Matrix_0.999375-31 lattice_0.17-26 loaded via a namespace (and not attached): [1] grid_2.10.0 tools_2.10.0 > fm1Orth.lis<-lmList(distance~age|Subject, data=Orthodont) > fm2Orth.lis<-lmList(distance~I(age-11)|Subject, data=Orthodont) Error in unique(c("AsIs", oldClass(x))) : object 'age' not found Error in unique(c("AsIs", oldClass(x))) : object 'age' not found Error in unique(c("AsIs", oldClass(x))) : object 'age' not found Error in unique(c("AsIs", oldClass(x))) : object 'age' not fo...

Dear R-devel, AsIs class seems to be well handled by `typeof` and `mode` function. Those two functions are being referred when explaining `is.vector` behaviour in manual. Yet `is.vector` does not seem to be handling AsIs class the same way. is.vector(1L) #[1] TRUE is.vector(I(1L)) #[1] FALSE Is there any reason beh...

This seemed too advanced for r-help and is related to the recent discussion of character vectors in dataframes. Following Brian Ripley's most excellent advice, we are moving to a world in which character vectors in dataframes are always of class AsIs. The cool way of doing this seemed to be the following: > cat(c("x", "y", "z"), file = "test.txt", sep = "\n") > x <- read.table("test.txt") > class(x$V1) [1] "factor" This is what we expect. > library(methods)...

...>, is.na and extraction methods for classed > objects, possibly rather slowly. " The problem is indeed that the vector reaches base::rank in both cases, but since it has a class, the function has to construct and evaluate a call to .gt every time it wants to compare two elements. xtfrm.AsIs even tries to remove the 'AsIs' class before continuing the method dispatch process: >> if (length(cl <- class(x)) > 1) oldClass(x) <- cl[-1L] It doesn't work in the (very contrived) case when 'AsIs' is not the first class and it doesn't remove 'AsIs'...

Good evening, I recently have observed slow merges when combining multiple data frames derived from DataFrame and base::data.frame. I observed that the index column of intermediate tables was of class <AsIs> (automatically converted from character). The problem occurred mainly when using the sorted = T option in base::merge. This can be traced to xtfrm.AsIs being more than 100 times slower than the comparable function for character vectors. x = paste0("A_", 1:1e5) system.time({o <- x...

class(o)[!inherits(o,"AsIs")] is still in function 'get_all_vars' in R patched (in https://svn.r-project.org/R/branches/R-3-6-branch/src/library/stats/R/models.R). It was ported to R patched by r77402. On Monday, 18 November 2019, 8:12:10 PM GMT+7, Martin Maechler <maechler at stat.math.ethz.ch> wrote:...

Thank you Gabriel, Agree, although I think that could be relaxed in this single case and AsIs class could be ignored. Best, Jan On Sun, Mar 29, 2020 at 7:09 PM Gabriel Becker <gabembecker at gmail.com> wrote: > > Jan, > > I believe it's because it has "a non-NULL attribute other than names" as per the documentation. In this case its class of "AsIs"...

Hi list: I work with a lot of laboratory analytical data and I often have inconsistent names of files and variables within those files so I wrote this sourcearg function to facilitate handling file and variable names as both character and R names. The source of the function is given below sourcearg=function(arg){ su=sprintf("%s\n",arg) sink("TMPTMPRarg")

There is no documentation for class AsIs, that is ?AsIs gives you nothing. Relatedly, there is no discussion of the use of I() to create objects of class AsIs on the help page for I(). This means that it is hard to find information in the help pages about the following usage. > test <- data.frame(x = I(letters[1:3])) > test x...

...vel intentional? >> >> library(Matrix) >> m <- as(matrix(c(0, 1)), "sparseMatrix") >> >> isS4(m) >> # [1] TRUE >> >> x <- I(m) >> # Warning message: >> # In `class<-`(x, unique.default(c("AsIs", oldClass(x)))) : >> # Setting class(x) to multiple strings ("AsIs", "dgCMatrix", ...); >> result will no longer be an S4 object >> >> isS4(x) >> # [1] FALSE >> >> This works fine in R 4.0.3 i.e. no warning and I() do...

hello, I have a problem to open an hdf file. i have downloaded the package 'hdf5' as it was advised on R seek. But when i try to load the file, the R console sends me an eror message: setwd("C:/Documents and Settings/Karine/Bureau/data/") #install.packages('hdf5') library("hdf5") sea_ice <- hdf5load("asi-s6250-20090704-v5i.hdf", load =

Hi there, Is that change in R-devel intentional? library(Matrix) m <- as(matrix(c(0, 1)), "sparseMatrix") isS4(m) # [1] TRUE x <- I(m) # Warning message: # In `class<-`(x, unique.default(c("AsIs", oldClass(x)))) : # Setting class(x) to multiple strings ("AsIs", "dgCMatrix", ...); result will no longer be an S4 object isS4(x) # [1] FALSE This works fine in R 4.0.3 i.e. no warning and I() doesn't turn off the S4 bit of the object. This change brea...

...f numeric vectors and one character vector that I want to bind into a data frame. When I include the character vector as a column in the data frame, all the numeric columns get factored in the data frame, which makes it tough to call those columns for calculations later on. I've tried using AsIs to prevent this, but without luck...in the examples below, the object named "c" is the one that is the character column. The others are numeric. df_without_char <- data.frame(cbind(rl, gl, cp), row.names = rownames(r)) #without char vector df_without_char <- data.frame(cbind(rl...

...tmpv <- c('\265g/L','Bq/L') > order(tmpv) [1] 2 1 > tmpv <- I(tmpv) > order(tmpv) Error in if (xi > xj) 1L else -1L : missing value where TRUE/FALSE needed > foov <- gsub('\265','',tmpv) > order(foov) [1] 2 1 > str(tmpv) Class 'AsIs' chr [1:2] "\265g/L" "Bq/L" > str(foov) Class 'AsIs' chr [1:2] "g/L" "Bq/L" I can easily work around this in my scripts, but shouldn't order() succeed with such an object? (I suppose this could be Mac-specific, but I'm assuming it&...

...event) ## Cox-regression coxph(survobj~group) # this works ## put Surv object in data.frame df.test <- data.frame(survobj=I(survobj), group) ## Cox-regression on data.frame coxph(survobj~group, data=df.test) # this does not work attr(df.test$survobj, 'class') # survobject has class "AsIs", "Surv" attr(df.test$survobj, 'class') <- c('Surv', 'AsIs') # put Surv first attr(df.test$survobj, 'class') # survobject has class "Surv", "AsIs" coxph(survobj~group, data=df.test) # now it works

Dear all, Supposed I run the following command: ############################### #install.packages("Rassoc", dependencies=TRUE) library("Rassoc") ca=c(139,249,112) co=c(136,244,120) a=rbind(ca,co) MAX3(a,"asy",1) ############################## I get: The MAX3 test using the asy method data: a statistic = 0.5993, p-value = 0.7933 How can one save the result

...SIXlt\"", deparse(substitute(x)))) 5: as.POSIXlt.default(x, tz, ...) 4: as.POSIXlt(x, tz, ...) 3: as.POSIXct(as.POSIXlt(x, tz, ...), tz, ...) 2: as.POSIXct.default(I("2008-01-01")) 1: as.POSIXct(I("2008-01-01")) > class( I('2008-01-01') ) [1] "AsIs" > is.character( I('2008-01-01') ) [1] TRUE It looks to me as though as.POSIXlt() does not recognize the object as being also a character object because it calls as.POSIXlt.default() instead of as.POSIXlt.character(). > sessionInfo() R version 2.7.0 (2008-04-22) powerpc-app...

Short example: > str(d <- data.frame(a = I(letters[1:5]))) `data.frame': 5 obs. of 1 variable: $ a:Class 'AsIs' chr [1:5] "a" "b" "c" "d" ... > str(d[TRUE,,drop = FALSE]) `data.frame': 5 obs. of 1 variable: $ a: chr "a" "b" "c" "d" ... The real problem about this is, that as soon as the data.frame is further &...