similar to: How to exclude a level from a factor

Hi, Does anyone know how to make the color of the lines all black when plotting groupedData with an outer factor: For example, library(nlme) plot(Dialyzer, outer=~QB, key=F) This generated colored curves in R.2.4.1. How to make all the curves black ? (or how to alter the color (type) of lines for the nlme groupedData plotting function in general?) Thanks Qiong

Hi, The standard error from logistic regression is slightly different from the naive SE from GEE under independence working correlation structure. Shouldn't they be identical? Anyone has insight about this? Thanks, Qiong a<-rbinom(1000,1) b<-rbinom(1000,2,0.1) c<-rbinom(1000,10,0.5) summary(gee(a~b, id=c,family="binomial",corstr="independence"))$coef

Dear all, I have a data frame with one factor and four numeric variables and wish to obtain the var-cor matrix separately by factor. I tried by() and sapply() but getting nowhere. I understand this can be done by subsetting the dataframe, but there should have some sleek ways of doing it. Here is a simulated dataframe; s <- rep(c("A","B","C"), c(25,22,18)) d

I am basically fine with the change. How about using just the following? if(!is.character(exclude)) exclude <- as.vector(exclude, typeof(x)) # may result in NA x <- as.character(x) It looks simpler and is, more or less, equivalent. In factor.Rd, in description of argument 'exclude', "(when \code{x} is a \code{factor} already)" can be removed. A larger

Full_Name: Laurent Gautier Version: 0.65.0 OS: Irix 6.5 Submission from: (NULL) (195.110.4.98) the following doesn't give what I expect > test _ factor(ORGMORE[[1]],exclude=c(NA,"NOM")) Warning message: NAs introduced by coercion > levels(test) [1] "CYT" "EXC" "MEM" "NOM" "NUC" "SEC" while this works... >

Kevin Korb <kmk at sanitarium.net> writes: > -/ /var/apache2/* Thanks for the input, but unless I'm doing something else screwy, that does not appear to work here. I put your line verbatim into my exlcude file (near the top) /pkg/* /sadm/* /cache/* /opt/csw/cache/* -/ /var/apache2/* /tmp/* ------- ------- ---=--- ------- ------- My actual task

I'm running rsync v2.5.5 on FreeBSD 4.6.2-RELEASE. I'm using rsync to mirror the home directories of user's desktop machines. I would like to exclude the cache of browsers such as mozilla or netscape. Unfortunately I have not been able to find the right syntax for the --exclude option. I hope someone can give me some insight. The command I'm using is: rsync --archive

The rsync tutorial is for new rsync users. Three small backup examples thoroughly explain rsync --link-dest, --recursive, and --exlcude-from options.? http://sites.google.com/site/rsync2u/home/rsync-tutorial rsync2u is a job-driven script that uses rsync to backup files to a local USB device or harddrive.? http://sites.google.com/site/rsync2u/home Someone please post the above lines on the rsync

Dear all, I am new to R. I wish to use R's multiple imputation to deal with missing data. I have a data set with the size around 300 observations and 150 variables. I checked the help function in R and could not locate how to write the codes for this. can anyone give a hand? Do appreciate your time and kindness! Q. [[alternative HTML version deleted]]

I have two variables, minutereturnsa which can be thought of as my independent variable and minutereturnsb which can be thought of as my dependent variable. When I run correlations on the two variables, depending on which of the three methods I use, I get values of between -.15 through -.19. Then, when I do a regression, I get an rsquared of .004 which is more in line with my intuition. In other

The quirk as in table(1:3, exclude = 1, useNA = "ifany") is actually somewhat documented, and still in R devel r71104. In R help on 'table', in "Details" section: It is best to supply factors rather than rely on coercion. In particular, ?exclude? will be used in coercion to a factor, and so values (not levels) which appear in ?exclude? before coercion will be mapped to

Is there a way in R (12.x) to avoid the implicit coercion of factors to integers in the context of subscripts? If this is not possible, is there a way to get at least a warning, if any coercion of this type happens, given that the action of this coercion is almost never what is wanted? Of course, in the rare case that as.integer() is applied explicitly onto a factor, the warning is not needed,

I'm trying a recommendation on the help page for 'factor': > x <- c(1, 2, 1, 2) > x <- factor(x, labels = c("one", "two")) > x [1] one two one two Levels: one two > as.numeric(levels(x))[x] [1] NA NA NA NA Warning message: NAs introduced by coercion Also, > as.numeric(as.character(x)) [1] NA NA NA NA Warning message: NAs introduced by

Hi, I have a dataframe that I imported from a .txt file by: skogTemp <- read.delim2("Skogaryd_shoot_data.txt", header=TRUE, fill=TRUE) and the data are factors, how can avoid factors from the beginning? Although the file contains both characters and numbers. I tried to convert some of the columns from factor to numeric and as I understood it you can not use only as.numeric but

Hola! The R FAQ says: 7.12 How do I convert factors to numeric? It may happen that when reading numeric data into R (usually, when reading in a file), they come in as factors. If f is such a factor object, you can use as.numeric(as.character(f)) to get the numbers back. More efficient, but harder to remember, is as.numeric(levels(f))[as.integer(f)] In any case, do not call as.numeric()

>>>>> Suharto Anggono Suharto Anggono via R-devel <r-devel at r-project.org> >>>>> on Fri, 2 Sep 2016 16:10:00 +0000 writes: > I am basically fine with the change. > How about using just the following? > if(!is.character(exclude)) > exclude <- as.vector(exclude, typeof(x)) # may result in NA > x <- as.character(x)

How do I fix this error ? I tried coercion to a vector but that didn't work. msci <-read.csv("..MSCIexUS.csv", header=TRUE) head(msci) Date index 1 Dec 31, 1969 100 2 Jan 30, 1970 97.655 3 Feb 27, 1970 96.154 4 Mar 31, 1970 95.857 5 Apr 30, 1970 85.564 6 May 29, 1970 79.005 > str(msci) 'data.frame': 510 obs. of 2 variables: $ Date : Factor w/ 510

There is a warning in the documentation for ?factor (R version 2.3.0) as follows: " The interpretation of a factor depends on both the codes and the '"levels"' attribute. Be careful only to compare factors with the same set of levels (in the same order). In particular, 'as.numeric' applied to a factor is meaningless, and may happen by implicit coercion.

Daemon was started and tested on two different OS. FreeBSD 9.0-CURRENT: # rsync --version rsync version 3.0.7 protocol version 30 Copyright (C) 1996-2009 by Andrew Tridgell, Wayne Davison, and others. Web site: http://rsync.samba.org/ Capabilities: 64-bit files, 32-bit inums, 64-bit timestamps, 64-bit long ints, socketpairs, hardlinks, symlinks, IPv6, batchfiles, inplace, append,

Sorry, a typo in my previous message (parens in the wrong place in the conversion). Here it is corrected: I'm doing a big slow computation, and profiling shows that it is spending a lot of time in match(), apparently because I have code like x %in% listofxvals Both x and listofxvals are factors with the same levels, so I could probably speed this up by stripping off the levels and just