similar to: Fractional logit in GLM?

Dear R-users, I am a new user for R. I am eager to lean about it. I wanted to read and summary of the a simple data file I used the following, rel <- read.table("C:/Documents and Settings/ashta/My Documents/R_data/rel.dat", quote="",header=FALSE,sep="",col.names= c("id","orel","nrel")) summary(rel) Below is the

--- include/share/alloc.h | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/include/share/alloc.h b/include/share/alloc.h index 914de9ba..63878db0 100644 --- a/include/share/alloc.h +++ b/include/share/alloc.h @@ -168,7 +168,7 @@ static inline void *safe_realloc_add_2op_(void *ptr, size_t size1, size_t size2) free(ptr); return 0; } - return realloc(ptr, size2); + return

* Rahul Chaudhry via gnu-gabi: > The encoding used is a simple combination of delta-encoding and a > bitmap of offsets. The section consists of 64-bit entries: higher > 8-bits contain delta since last offset, and lower 56-bits contain a > bitmap for which words to apply the relocation to. This is best > described by showing the code for decoding the section: > > typedef

Hi, I hope someone knows the answer to this or has a real good reference about it (I am using Legendre & Legendre, Numerical Ecology, 1998).... My data is a data.frame with locations as rows and vegetation assemblages / species as columns. I've done a PCA, a correspondance analysis (CA) using ca in ca package and a detrended correspondance analysis (DCA) using decorana from vegan package.

Dear R experts, I am trying to arrange multiple plots, creating one graph for each size1 factor variable in my data frame, and each plot has the median price on the y-axis and the size2 on the x-axis grouped by clarity: library(ggplot2) df <- data.frame(price=matrix(sample(1:1000, 100, replace = TRUE), ncol = 1)) df$size1 = 1:nrow(df) df$size1 = cut(df$size1, breaks=11)

Hi I have the following formula (I hope it is clear - if no, I can try to do better the next time) h(x, a, b) = integral(0 to pi/2) ( ( integral(D/sin(alpha) to Inf) ( ( f(x, a, b) ) dx ) dalpha ) and I want to do an mle with it. I know how to use mle() and I also know about integrate(). My problem is to give the parameter values a and b to the

Hello, If anyone is running an Icecast server that serves at least 3 separate streams each with it's own bitrate can I get a look at your config? Thanks. Dave.

Hi there, I have a rather large data set and perform the following cox model: test1 <- list(tstart,tstop,death1,chemo1,radio1,horm1) out1<-coxph( Surv(tstart,tstop, death1) ~ chemo1+chemo1:log(tstop+1)+horm1+horm1:log(tstop+1)+age1+grade1+grade1:log(tstop+1)+positive1+positive1:log(tstop+1)+size1+size1:log(tstop+1), test1) out1 Up to here everything works fine (with each covariate

Hi, I would like to get from a plot the size of the symbols plotted. Imagine I have the following plot function : plot(1:2,1:2, pch=15, cex=4) I would like the get the values SIZE1 and SIZE2 so that if I plot the following rectangle : rect(1.5,1.5, 1.5+SIZE1, 1.5+SIZE2) then the size of this square is exactely the same as the one of the symbols that have been plotted. Thanks for any idea. --

Hi, Thanks, that helps a lot. I'm trying to get ices2 now to do the multiple clients and sources, I'll post what I get later today. Thanks. Dave. On 9/28/18, jake <jake at jakebriggs.com> wrote: > I just realised my previous email didn't go to the list for some reason. > Here it is again: > > Currently, I have three liquadsoap ".liq" files, and they all

+llvm-dev Discussion here: https://sourceware.org/ml/gnu-gabi/2017-q2/msg00000.html On Tue, May 2, 2017 at 10:17 AM, Suprateeka R Hegde <hegdesmailbox at gmail.com> wrote: > On 02-May-2017 12:05 AM, Florian Weimer wrote: >> On 05/01/2017 08:28 PM, Suprateeka R Hegde wrote: >>> So the ratio shows ~96% is RELATIVE reloc. And only ~4% others. This is >>> not the

Dear colleages in R, I have earlier been working with R in Linux, where reading in a table containing Scandinavian letters ("?", "?", and "?") in the header as part of variable names has not caused any problem whatsoever. However, when trying to do the same in R running on new MacOS-X (with an Intel processor) with the same original text table does not seem to

Hi. I am using R 2.3.1 on WIndows XP, and I am having trouble with the rank function in the presence of numerical NA data. I want the NA's all to get the same rank, but they don't. Here is an example from my session: >ct_align_rets_f2$liq[6851:6859] [1] 115396 NA 362595 NA 242986 340805 NA 692905 251533

Here is our proposal to extend/enhance the x86-64 compact unwind descriptors to fully describe the prologue/epilogue for asynchronous unwinding.  I believe there are missing/lacking CFI directives as well, but I'll save that for another thread. Asynchronous Compact Unwind Descriptors Ron Brender, VMS Software, Inc. Revised January 25, 2018 1  Introduction This document proposes means to

Hi *, besides my dovecot maildir structure, that has been migrated from an Exchange server, I have an even older mail structure in an ancient uucp style. The program named CrossPoint I used for this isn't wideley known, but it used so called mpuffer files in a plain text format. It is the program I still use to write for example this mail. I wonder if there already exists a program or script

Hi Nick, It is a pleasure to be in contact with the creator of the compact unwind approach! I can see how an array of 32-bit unwind blocks could be used to describe each distinct point within a function (within a prolog in particular). But then you end up with six or seven or more such blocks for a large percentage of functions, don't you? Seems like a lot of additional space for something

Hello everybody, I am beginning with loops and functions and would be glad to have help in the following question: If i have a dataframe like this Site Prof H 1 1 24 1 1 16 1 1 67 1 2 23 1 2 56 1 2 45 2 1 67 2 1 46 And I would like to create a new column that subtracts the minimum of H from H, but for S1 and P1 only

Hii rstudio members I am learning rstudio, For my manuscript I am trying to plot CCA using species and environmental data. But I am getting error like Error in cca.default(sptrans, envtrans) : all row sums must be >0 in the community data matrix *My code is like * library(vegan) library(ggplot2) library(dplyr) rassspec<-read.csv("C:/Users/hp/Desktop/R_data/rassspec.csv",

Hello, I am making a boxplot of 13 boxes. I tried to color the box using 13 colors but failed. Only red and brown were displayed. Green, blue, and grey disappeared. Please kindly advise modification after checking the code below. Thank you in advance. Elaine R code # data input dataN <-read.csv("H:/a_mig_distance_B_NB/R_data/Mig_bird_586_20120925.csv",header=T, row.names=1)

John and Ron, I developed the original compact unwind implementation for macOS 10.6 back in 2009. I tried to leave space in the design to support finer grain exception handling such as for asynchronous or for the shrink wrap optimization. The idea I had at the time was instead of having just one 32-bit compact unwind info per function, there could be an array of them each covering a different