similar to: read.table, row.names arg

Dear R users, I was wondering from where I could get the C source code to compute pnbinom() and qnorm() ? (I would use R in batch mode but I find the startup time prohibitive, unless there is a way to speed it up) I searched the Web and it clearly is part of the R distribution, I just don't know how to extract them. Thanking you ! Markus Loecher Princeton, NJ [[alternative HTML version

I have been trying to read in a large data set using read.table, but I've only been able to grab the first 50,871 rows of the total 122,269 rows. > f <- read.table("http://www.cs.odu.edu/~fmccown/R/Tchange_rates_crawled.dat", header=TRUE, nrows=123000, comment.char="", sep="\t") > length(f$change_rate) [1] 50871 From searching the email archives,

HI all, This is probably simple, but I haven't been able to locate the answer either in the Import Manual or from searching the listserve. I have tab-delimited data with different numbers of elements in each row. I want to read it into R, such that R fills in "NA" in elements that have no data. How do I accomplish this? Example: DATA on disk: 1 -0.068191 -0.050729

Dear R users, I have been diligently using the apply() family in order to avoid explicit for loops and speed up computation. However, when I finally inspected the source code for apply, it appears that the core computation is a simple loop as well. What am I missing ? Why the often found advice to use apply() instead of loops and the actually observed empirical speedups on many tasks ? Thanks in

The MASS package is listed on the CRAN web site ( http://cran.r-project.org/web/packages/MASS/index.html) but I am unable to install it via install.packages(). The error is that the package is "unavailable". When I manually download the source tar ball and try to install it on a Linux machine, installation fails because "it is not a valid package". Do I need to search

Jeff, Thank you for your reply. The intent was to construct a minimum reproducible example. The same warning occurs when the 'file' argument points to a file on disk with a million lines. But you are correct, my example was slightly malformed and in fact gives an error under R version 3.2.2. Please allow me to try again; in older versions of R, ?? > read.table(file =

>>>>> Benjamin Tyner <btyner at gmail.com> >>>>> on Tue, 24 Oct 2017 07:21:33 -0400 writes: > Jeff, > Thank you for your reply. The intent was to construct a minimum > reproducible example. The same warning occurs when the 'file' argument > points to a file on disk with a million lines. But you are correct, my >

Dear R community, pardon my ignorance but how would you get the source code for"non-visible functions" ? For example, I would like to see and modify the source code for the prompt() function. Thanks! Markus [[alternative HTML version deleted]]

R-devel subscribers: this came from R-core, but may interest you.... >>>>> "MM" == Martin Maechler <maechler@stat.math.ethz.ch> writes: >>>>> "Ross" == Ross Ihaka <ihaka@stat.auckland.ac.nz> writes: Ross> Martin Maechler writes: >>> Actually, I've been thinking (and asking Kurt) if we shouldn't use

Hi, I need to read in a series of text files with a time series on each row. The series are of different lengths and I'd like to just use the first row as the length and have R ignore extra values in rows that go over this length. For example: 1 0 3 4 5 1 3 5 6 8 7 7 2 1 1 1 4 7 7 7 So the 7s would be ignored and I would have a 5x3 matrix. I tried creating a series of colClasses

Hello I noticed that starting with R version 3.3.0 onward, this generates a warning: ?? > txt <- c("a", "3.14") ?? > read.table(file = textConnection(txt), header = FALSE, colClasses = c(x = "character", y = "numeric")) the warning is "not all columns named in 'colClasses' exist" and I guess the change was made in response

Hi, I am trying to avid the somewhat costly startup overhead of launching a separate R executable for each "client" request on Linux. My current architecture is such that My Java client explicitly calls R in batch mode and passes it certain parameters. The initital startup takes almost 10 seconds because R has to load a bunch of libraries as well as a moderately large, previously

Dear R graphics experts, Do you know of any way of plotting semi-transparent points in R ? I face this problem any time I want to e.g. plot thousands of points that belong to two or three classes which I color code. With the default opaque colors, the plotting order matters and basically the points I plot last completely dominate the picture. I would much rather have the overlaying points

You are constructing the equivalent of a two-line data file, and complaining that it is not treating it like it was one line. If it did used to accept this silently [skeptical] then I for one am glad it produces a warning now. -- Sent from my phone. Please excuse my brevity. On October 23, 2017 2:53:21 PM PDT, Benjamin Tyner <btyner at gmail.com> wrote: >Hello > >I noticed that

Full_Name: Markus Loecher Version: 1.1.1 OS: Solaris Submission from: (NULL) (129.73.1.1) When trying to install R on a Sun SPARC, make fails in the very end, here is the error message: rbitmap.c:239: parse error before `jmp_buf' rbitmap.c:239: warning: no semicolon at end of struct or union rbitmap.c: In function `my_error_exit': rbitmap.c:257: dereferencing pointer to incomplete type

Dear list members, I switched from Splus to R a few years ago and so far found no functionality missing. However, I am struggling to find the equivalent align() function for time series. I did find some reduced functionality such as alignDailySeries in package:fCalendar but the full capability of aligning two timeseries seems to be missing. Could this be true ? I am sure there must be a need

Dear ggplot2 users, is there an easy/elegant way to suppress zero count bars in histograms with logarithmic y axis ? One (made up) example would be qplot(exp(rnorm(1000))) + geom_histogram(colour = "cornsilk", fill = "darkblue") + scale_x_sqrt() + scale_y_log10() Thanks! Markus [[alternative HTML version deleted]]

Dear list members, I use both R and Matlab and find that each has its own strengths. Matlab definitely has the edge when it comes to the interactivity of its graphs. In addition I find the little operator end extremely useful in indexing arrays. (as in x(1:end,) ) The notation is MUCH more cumbersome in R using nrow() and ncol() recursively (as in x[1:nrow(x), ] ). Is there a package that might

Dear R users, I am struggling a bit with the converting dates to full POSIX timestamps, in particular, I would like to somehow force the timezone to be local, i.e. the output of as.POSIXct(as.Date("2008-07-01")) should always be equal to "2008-07-01 00:00:00", is that achievable ? I tried to set the origin and the timezone, neither of which seems to make a difference. On my Mac

Dear gbm users, When running predict.gbm() on a "large" dataset (150,000 rows, 300 columns, 500 trees), I notice that the memory used by R grows beyond reasonable limits. My 14GB of RAM are often not sufficient. I am interpreting this as a memory leak since there should be no reason to expand memory needs once the data are loaded and passed to predict.gbm() ? Running R version 2.9.2 on