search for: johannes_graumann

Hi, Is there such a thing? If no: is it easily simulated? thanks, Joh

Why is class(spectrum[["Ion"]]) after this "factor"? spectrum <- cbind(spectrum,Ion=rep("", nrow(spectrum)),Deviation.AMU=rep(0.0, nrow(spectrum))) slowly going crazy ... Joh

Hi, Any ideas on how to efficiently convert > list(c(1,2,3),c(4,5,6)) to > data.frame(OriginalListIndex=c(1,1,1,2,2,2),Item=c(1,2,3,4,5,6)) Thanks for any hints, Joh

>From: Johannes Graumann <johannes_graumann at web.de> >Date: 2007/12/18 Tue PM 04:40:37 CST >To: r-help at stat.math.ethz.ch >Subject: [R] All anchored series from a vector? lapply(1:length(myvector) function(.length) { c(myvector[1}:myvector[.length]) }) but test it because i didn't. >Hi all, > >What may be a...

> -----Original Message----- > From: William Dunlap > Sent: Tuesday, November 25, 2008 9:16 AM > To: 'johannes_graumann at web.de' > Subject: Re: [R] Efficient passing through big data.frame and > modifying select fields > > > Johannes Graumann johannes_graumann at web.de > > Tue Nov 25 15:16:01 CET 2008 > > > > Hi all, > > > > I have relatively big data frames (&...

Hello, Banging my head against a wall here ... can anyone light the way to a pattern modification that would make the following TRUE? identical( grep( "^Intensity\\s[^HL]", c("Intensity","Intensity L", "Intensity H", "Intensity Rep1")), as.integer(c(1,4))) Thank you for your time. Sincerely, Joh

Hello, I have a list of character vectors like this: sequences <- list( c("M","G","L","W","I","S","F","G","T","P","P","S","Y","T","Y","L","L","I","M",

Hello R-ologists, Imagine you have a list "list" like so: >list [[1]] [1] "IPI00776145.1" "IPI00776187.1" [[2]] [1] "Something" "IPI00807764.1" "IPI00807887.1" [[3]] [1] "IPI00807764.1" [[4]] [1] "Somethingelse" What I need to achieve is a filtered list "list2" like so: >list2 [[1]] [1]

Dear all, Can anyone please shed some light onto how to do this? This will give me all "intensity" columsn in my data frame: intensityindeces <- grep("^Intensity",names(dataframe),value=TRUE) This will give me the maximum intensity for the first row: intensityone <- max(dataframe[1,intensityindeces]) What I'm now looking for is how to dfo this for the whole data

<posted & mailed> Dear all, I'm trying to solve the problem, of how to find clusters of values in a vector that are closer than a given value. Illustrated this might look as follows: vector <- c(0,0.45,1,2,3,3.25,3.33,3.75,4.1,5,6,6.45,7,7.1,8) When using '0.5' as the proximity requirement, the following groups would result: 0,0.45 3,3.25,3.33,3.75,4.1 6,6.45 7,7.1

Hello, I'm new to this and am trying to teach myself some R by plotting biological data. The growth curve in question is supposed to be fitted to the Verhulst equation, which may be transcribed as follows: f(x)=a/(1+((a-0.008)/0.008)*exp(-(b*x))) - for a known population density (0.008) at t(0). I am trying to rework the example from "An Introduction to R" (p. 72) for my case and

Hello, trying to get something like this to work and am failing: pie( c(length(strongN14),length(weakN14),length(weakN15),length(strongN15),length(ambiguous)), labels = c(>= 0.66, >= 0.33, <= -0.33, <= -0.66), col = c("#9999FF","#0000CC","#009900","lightgreen","white") ) Can't figure out a way to display the 'greater or

Hi there, given a data.frame 'data' I managed to filter out entries (rows) that are identical with respect to one column like so: duplicity <- duplicated(data[column]) data_unique <- subset(data,duplicity!=TRUE) But I'm trying to extract how many duplicates each of the remaining rows had. Can someone please send me down the right path for this? Joh

Hello, I have a large data frame (1006222 rows), which I subject to a crude clustering attempt that results in a vector stating whether the datapoint represented by a row belongs to a cluster or not. Conceptually this looks something like this: Value Cluster? 0.01 FALSE 0.03 TRUE 0.04 TRUE 0.05 TRUE 0.07 FALSE ... What I'm looking for is an efficient strategy to extract all

Hi again, how to elegantly split s <- "ABCDEFGT(P)HIJK" into "A" "B" "C" "D" "E" "F" "G" "T(P)" "H" "I" "J" "K" (independently of which letters 'T' or 'P' actually represent ...). Please jumstart my regexing, Joh

Hi, I read in some tabular data using this: > read.table(file, quote = "\"", header = TRUE, sep = "\t", > stringsAsFactors > = FALSE, comment.char = "") One slight problem I have now is that some columns in the data set contain either "" or "+", which means FALSE or TRUE respectively. The command results in those columns

Hi all, I swear this used to work: library(gsubfn) strapply("S(AC,P)TVDK(8)EELVQK(8), ".[(].{1,2}[)]|.")[[1]] But somewhere along the update path it stopped ... now giving me this Error in base::gsub(pattern, rs, x, ...) : invalid backreference 2 in regular expression Can't figure it out. What am I doing wrong? Thanks for any hints, Joh

Hi, I fail to find "choose.dir()" in my current R install (see below)? Didn't that exist at some point? How to achieve "file.choose()" equivalent functionality for directories? Thanks for any hints, Joh > sessionInfo() R version 2.11.1 (2010-05-31) x86_64-pc-linux-gnu locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C [3]

Hello, Please have a look at the code below, which I use to read in the attached file. As line 18 of the file reads "1065:>sp|Q9V3T9|ADRO_DROME NADPH:adrenodoxin oxidoreductase, mitochondrial OS=Drosophila melanogaster GN=dare PE=2 SV=1", I expect the code below to produce a 3 column data frame with most of the last column empty and line 18 to produce a data.frame row like so:

Hello, Is it possible to get all "par" content calculated for "plot" without actually plotting anything? I'm missing an option "plot=FALSE" ... "type="n"" will still open a device and draw the axes ... Thanks, Joh