similar to: Subsetting row in single column matrix drops names in resulting vector

Hi Rui. Thanks for answer, I'm aware of drop = FALSE option. Unfortunately it doesn't resolve the issue - I'm expecting to get a vector, not a matrix . ??, 21 ????. 2018 ?. ? 20:54, Rui Barradas <ruipbarradas at sapo.pt>: > Hello, > > Use drop = FALSE. > > a[1, , drop = FALSE] > # col1 > #row1 1 > > > Hope this helps, > > Rui Barradas

Dmitriy Selivanov (selivanov.dmitriy at gmail.com) wrote: > Consider following example: > > a = matrix(1:2, nrow = 2, dimnames = list(c("row1", "row2"), c("col1"))) > a[1, ] > # 1 > > It returns *unnamed* vector `1` where I would expect named vector. In fact > it returns named vector when number of columns is > 1. > Same issue applicable

> > The behaviour of a[1,] is unchanged, for backwards compatibility > > reasons. But in pqR one can explicitly mark an argument as > > missing using "_". When an array subscript is missing in this way, > > the names will not be dropped in this context even if there is > > only one of them. So a[1,_] will do what you want: > > > > > a =

The problem is that the drop is only applied (or not) after the subsetting, so what R does is: - Getting the subset, which means a 1 x 1 matrix. - Only then It either returns that as is (when drop=FALSE), or removes ALL dimensions of extent 1, regardless of whether these are rows or columns (or higher dimensions). And it can't keep any names, because what name should be returned? The name

I would like to insert a few modest size data frames directly into my R code. a short illustration example of what I want is d <- read.csv( _END_, row.names=1 ) , "col1", "col2" "row1",1,2 "row2",3,4 __END__ right now, the data sits in external files. I could put each column into its own vector and then combine into a data frame, but this seems

Hi R-experts, I try to find a way to transfer a matrix to a data.frame that is used as input of aov. can you give me advice for that? >mdat <- matrix(c(1,2,3, 11,12,13), nrow = 2, ncol=3, byrow=TRUE, dimnames = list(c("row1", "row2"), c("Col1", "Col2", "Col3"))) >mdat      Col1 Col2 Col3 row1    1    2    3 row2   11   12   13 ===>

I want to write following data frame into a CSV file: Col1 Col2 Col3 Row1 1 1 1 Row2 2 2 2 where Row1, Row2 are the row names and Col1, Col2, Col3 are the column names. The correct CSV file should be: ,"Col1","Col2","Col3" Row1,1,1,1 Row2,2,2,2 However, the one generated by R using write.table(x, file="xyz.csv",

Hi R Users, I'm trying to plot a stacked barplot. Here is data: Sample Col1 Col2 Col3 Row1 -2 4 -1 Row2 3 -2 4 Row3 3 5 -2 Row4 4 1 -1 I'm using following R code: library(lattice) dta<-read.table("data.txt", header=TRUE, row.names="Sample") barchart(data.matrix(dta), horizontal=FALSE, stack=TRUE, col=2:4,

Hi mailing list and R-core. Could someone from R-core please help me to create account in bugzilla? I would like to submit issue related to gc() to wishlist. Related context is here - https://stat.ethz.ch/pipermail/r-devel/2017-July/074715.html -- Regards Dmitriy Selivanov [[alternative HTML version deleted]]

2017-08-11 16:00 GMT+02:00 Martin Maechler <maechler at stat.math.ethz.ch>: >>>>>> Dmitriy Selivanov <selivanov.dmitriy at gmail.com> >>>>>> on Fri, 11 Aug 2017 17:33:31 +0400 writes: > > > Hi mailing list and R-core. Could someone from R-core please help me to > > create account in bugzilla? I would like to submit issue

All, I frequently make spreadsheets in Excel in which I rank values in columns by stop-light colors (red is bad, yellow is OK, green is good). Image and heatmap expect a matrix in which all the data are in the same scale, but I frequently have different scales in different columns. ie. Column one runs from 1-10 while column 2 runs from 1-100. I thus need to define a separate color ramp for each

Hi R Users, I'm using following data/code (data is attached also) to produce a stacked barplot. # Sample Data: Names Col1 Col2 Col3 Row1 -20 40 -10 Row2 30 -20 40 Row3 30 10 -20 Row4 20 20 -10 # R Code: dta<-read.table("data.txt", header=TRUE, row.names="Names") barchart(data.matrix(dta), horizontal=FALSE, stack=TRUE, par.settings = simpleTheme(col =

Strange because in my all my experiments calling malloc.trim always helped - memory reported by top decreased to the level it supposed to be. Do you have in mind case when calling malloc.trim won't do anything? Also shouldn't MALLOC_TRIM_THRESHOLD_ env variable has impact on malloc.trim calls? At the moment seems any value is ignored... 12 ???. 2017 ?. 6:09 ?? ???????????? "Simon

Hi to all is there any construct to sum data=data.frame(row1=c(1,1,3,1,2,3,2,2,1,3,4,5,2,3,2,1) , row2=c(2,2,1,1,1,2,1,2,1,1,1,1,2,2,2,1) ) Means I would like to get all y of row1 if in row2 of the data.frame is an x f.e row1=3 and row2=2 so I would like to get 6 And is there another construct to get the count of pairs where row1=3 and row2=2 means the result should be

Hi R Users, I'm using following data/code (data is also attached) to produce a stacked barplot. *I need help with changing legend boxes, currently I'm using "rectangles=TRUE". Is it possible to get small squares instead -- may be with a small gap between colored squares.* Currently there is no gap between the colored rectangles. # Sample Data: Names Col1 Col2 Col3 Row1 -20 40

Hi, I have a problem sorting and selecting entries within a data-frame and I don't know if it is possible to solve it with R ... (probably yes, but I have no idea how). Following Data; row1 row2 a 12 pos NA a 3 neg NA a 5 neg NA a 11 pos NA I want to extract the values in row 2 in the lines with an "a" in row1. But I want to have two vectors: vector x with all

Hi, I have a data frame with several columns. Now I want to transfer the data into a new variable (also a data frame), but I only want a part of the data, defined by a rule ... for example; I have following data frame: row1 row2 row3 x 2 3 x 1 4 y 5 3 y 2 3 I know want a data frame, only with lines containing x in row1. I know how to do that for one row (f <-

I'm running into a problem I can't seem to find a solution for. I'm attempting to add sequences into an existing data set based on subsets of the data. I've done this using a for loop with a small subset of data, but attempting the same process using real data (200k rows) is taking way too long. Here is some sample data and my ultimate goal >

Hi, I have an R programming problem and I havent found anything in the documentation yet: I have a data matrix, in which two neighbouring columns represent replicates of the same experiment, e.g. something like this: A A B B C C row1 1 1 1 2 2 2 row2 1 1 1 1 1 2 I would like to test, if the values for the two replicates in a row are the same or if they differ and generate a new

Hi, I'm a bit puzzled. I uses exactly the same code in RcppExamples package to try adding RcppFrame object to RcppResultSet. When running it gives me segmentation fault problem. I'm using gcc 4.1.2 on redhat 64bit. I'm not sure if this is the cause of the problem. Any advice would be greatly appreciated. Thank you. Rob. int numCol=4; std::vector<std::string>