similar to: How to take ID of number > 7.

I''ve been googling around, and have found a lot of tools to convert images to the right pixel size - anyone have a good command line based one for linux? Also, how do you issue a command from a rails app? Thanks, Ben Lisbakken -- Posted via http://www.ruby-forum.com/.

On May 3, 2011, at 12:03 PM, David A. Greene wrote: >> >> The greedy allocator is trying to pick registers so inner loops are as >> small as possible, but that is not always the right thing to do. > > How does it balance that against spill cost? I added the CostPerUse field to the register descriptions. The allocator will try to minimize the spill weight assigned to

I have a dataset that is basically structureless. Its dimension varies from row to row and sep(s) are a mixture of tab and semi colon (;) and example is HEADER1 HEADER2 HEADER3 HEADER3 A1 B1 C1 X11;X12;X13 A2 B2 C2 X21;X22;X23;X24;X25 A3 B3 C3 A4 B4 C4 X41;X42;X43 A5 B5 C5 X51 etc., say. Note that a blank

Hi, Here, i have a matrix like this MyMatrix <- *DATETIME HEADER1 HEADER2* 1/1/2010 0:10 197.1947 100.0859 1/1/2010 0:20 203.8811 100.1013 1/1/2010 0:30 206.564 100.0433 1/1/2010 0:40 207.9563 99.9393 i want to get the time difference in minutes between two date. TimeDiff <- MyMatrix[1,1] - MyMatrix[2,1] TimeDiff

Jakob Stoklund Olesen <stoklund at 2pi.dk> writes: >>> The greedy allocator is trying to pick registers so inner loops are as >>> small as possible, but that is not always the right thing to do. >> >> How does it balance that against spill cost? > > I added the CostPerUse field to the register descriptions. The > allocator will try to minimize the

I need to read in csv files, created by 3rd party, with fields containing single quotes (as shown below). "header1","header2","header3","header4" "field1r1","field2r1","field3r1","field4r1" "field1r2","field2r2","field3r2PartA), field3r2PartB Very" Long","field4r2"

Jakob Stoklund Olesen <stoklund at 2pi.dk> writes: >> Yikes! Do we know why these codes got so much worse? Even 5% is a big >> deal on x86. > > On x86-64, n-body and puzzle have the exact same instructions as with > linear scan. The only difference is the choice of registers. This > causes some loops to be a few bytes longer or shorter which can easily > change

Hello: I am trying to work with a couple of microarray data sets, using platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 8.1 year 2003 month 11 day 21 language R In the shortcut for invoking R I have set

I am working on compiling R-3.6.0 for Windows 10 64bit using rtools40 (beta 11). I had also installed the most recent update of Inno setup, which is now 6.0.2.With that version, `make risntaller` fails at the call to ""C:/R/Inno/iscc" R.iss > R-3.6.0.log 2>&1" and just exits, pointing to line 175 of the makefile which is: $(RPREFIX)-win.exe: R.iss

At the risk of being beaten about the face and body, can somebody explain why the middle example: log2(2^3); floor(log2(2^3)) is different than examples 1 and 3? > log2(2^2); floor(log2(2^2)) [1] 2 [1] 2 > log2(2^3); floor(log2(2^3)) [1] 3 [1] 2 > log2(2^4); floor(log2(2^4)) [1] 4 [1] 4 > DrC [[alternative HTML version deleted]]

Hi list, Can somebody explain why there are these warning messages?? I just don't get it.? I'm using R 2.15.1 on WinXP. Thanks! Tao > x [1] -2.143510 -1.157450 -1.315581? 1.033562 -1.225440 -1.179909 >? ifelse(x>0, log2(x), -log2(-x)) [1] -1.099975 -0.210950 -0.395700? 0.047625 -0.293300 -0.238675 Warning messages: 1: In ifelse(x > 0, log2(x), -log2(-x)) : NaNs produced

I have question about log2 transformation and performing mean on log2 data. I am doing analysis for ELISA data. the OD values and the concentration values for the standards were log2 transformed before performing the lm. the OD values for samples were log2 transformed and coefficients of lm were applied to get the log2 concentration values. I then backtransformed these log2 concentrations and the

Dear list, I have a data frame like: > log2.ratios[1:3,1:4] Clone a1 a2 a3 1 GS1-232B23 -0.0207500 0.17553833 0.21939333 2 RP11-82D16 -0.1896667 0.02645167 -0.03112333 3 RP11-62M23 -0.1761700 0.08214500 -0.04877000 how to make it to look like: > log2.ratios[1:3,1:4] a1 a2

Hello. My name is Akashah. i work at metabolic laboratory. From my study, i found that volcano plot can help a lot in my section.  i already studied about the volcano plot and get the coding to run in R software, unfortunately, there is may be something wrong with the coding. This is because  no graph appear, but no error (blue color text) was shown on the R console. Below is the coding for

On May 3, 2011, at 9:19 AM, David A. Greene wrote: > Jakob Stoklund Olesen <stoklund at 2pi.dk> writes: > >> +10.0% SingleSource/Benchmarks/CoyoteBench/huffbench >> +12.0% SingleSource/Benchmarks/McGill/chomp >> +18.0% SingleSource/Benchmarks/BenchmarkGame/n-body >> +45.5% SingleSource/Benchmarks/BenchmarkGame/puzzle >> +10.0%

Dear R-users, I have a basic question about how to determine the antilog of a variable. Say I have some number, x, which is a factor of 2 such that x = 2^y. I want to figure out what y is, i.e. I am looking for the antilog base 2 of x. I have found log2 in the Reference Manual. But I am struggling how to get the antilog of that. Any help will be appreciated! > version platform

HELLO, anybody... could you help me to check the below coding for volcano. what is the mistake? what the plot could not display? # volcano_plot.r # # Author: Amsha Nahid, Jairus Bowne, Gerard Murray # Purpose: Produces a volcano plot # # Input: Data matrix as specified in Data-matrix-format.pdf # Output: Plots log2(fold change) vs log10(t-test P-value) # #

Dear all, I just noticed that the 0.9 update for FrF2 did not work out for Mac OS due to an error in an example that ran without error on all other platforms. I do not find any reason for this. In the past, umlauts or tab characters have sometimes been an issue, but I didn't find any of these. The function definition is FrF2(nruns = NULL, nfactors = NULL, factor.names = if

I'm looking over good-code a post-doc in my lab wrote and trying to learn how it works. I came across the following: rel.abundance <- as.matrix(read.delim("rel.abundance.csv",row.names=1,as.is =TRUE)) rel.abundance <- log2(rel.abundance-min(rel.abundance)+1) I'm not sure what the second line is doing. I ran each line in R and couldn't see a noticeable difference in

I have a text file log2.log encoded Ansi in Windows. When I execute: out <- read.zoo(readLines(con <- file("log2.log", encoding="UCS-2LE")),FUN = as.chron) have errors: Error en file(file, "rt") : no se puede abrir la conexi?n Adem?s: Mensajes de aviso perdidos 1: In file(file, "rt") : s?lo fue usado el primer elemento del argumento