search for: anymissing

...lures seemed due to the fact Biobase not being there. So, why is Biobase failing to compile? Here's the complaint: * Installing *source* package 'Biobase' ... ** libs gcc -std=gnu99 -I/usr/local/lib64/R/include -I/usr/local/lib64/R/include -I/usr/local/include -fpic -g -O2 -c anyMissing.c -o anyMissing.o gcc -std=gnu99 -I/usr/local/lib64/R/include -I/usr/local/lib64/R/include -I/usr/local/include -fpic -g -O2 -c envir.c -o envir.o gcc -std=gnu99 -I/usr/local/lib64/R/include -I/usr/local/lib64/R/include -I/usr/local/include -fpic -g -O2 -c matchpt.c -o matchpt.o gcc -s...

Hi, is there a hasNA() / an anyNA() function in R? Of course, hasNA <- function(x) { any(is.na(x)); } would do, but that would scan all elements in 'x' and then do the test. I'm looking for a more efficient implementation that returns TRUE at the first NA, e.g. hasNA <- function(x) { for (kk in seq(along=x)) { if (is.na(x[kk])) return(TRUE); } FALSE; }

...nalyze my RNA-seq experiment (20000 genes x 550 samples) with survival endpoint. It quickly give the following error: > library(samr)Loading required package: imputeLoading required package: matrixStats Attaching package: ?matrixStats? The following objects are masked from ?package:Biobase?: ? ? anyMissing, rowMedians Warning messages:1: package ?samr? was built under R version 3.3.3?2: package ?matrixStats? was built under R version 3.3.3 > samfit<-SAMseq(data, PFI.time,censoring.status=PFI.status, resp.type="Survival") Estimating sequencing depths...Error in quantile.default(prop, c...

...my RNA-seq experiment (20000 genes x 550 samples) with survival endpoint. It quickly give the following error: > library(samr) Loading required package: impute Loading required package: matrixStats Attaching package: ?matrixStats? The following objects are masked from ?package:Biobase?: ? ? anyMissing, rowMedians Warning messages: 1: package ?samr? was built under R version 3.3.3? 2: package ?matrixStats? was built under R version 3.3.3 > samfit<-SAMseq(data, PFI.time,censoring.status=PFI.status, resp.type="Survival") Estimating sequencing depths... Error in quantile.default(p...

Below is a version of [.data.frame that is faster for subscripting rows of large data frames; it avoids calling duplicated(rows) if there is no need to check for duplicate row names, when: i is logical attr(x, "dup.row.names") is not NULL (S+ compatibility) i is numeric and negative i is strictly increasing "[.data.frame" <- function (x, i, j,

...(iii), which would be backward compatible with all existing code. For instance y <- sum(x, na.rm=FALSE) would return NA immediately if the state of 'x' is "Has NAs". Then different computational algorithms are free to set the state, if they know it. For instance, matrixStats::anyMissing(x) would flag the "x" object (i) if returning TRUE and (ii) if returning FALSE. Next time it is called, the response could be instant/O(1). Similarly, y <- rowSums(x, na.rm=TRUE/FALSE) can set the state on y, and so on. Just some thoughts /Henrik On Mon, Aug 23, 2010 at 1:50 PM,...

Hi, In the man page for is.unsorted(): Value: A length-one logical value. All objects of length 0 or 1 are sorted: the result will be ?NA? for objects of length 2 or more except for atomic vectors and objects with a class (where the ?>=? or ?>? method is used to compare ?x[i]? with ?x[i-1]? for ?i? in ?2:length(x)?). This contains many incorrect