similar to: read floats from file into array

Hi, ?rawToChar 'rawToChar' converts raw bytes either to a single character string or a character vector of single bytes. (Note that a single character string could contain embedded nuls.) Allowing embedded nuls in a string might be an interesting experiment but it seems to cause some troubles to most of the string manipulation functions. A string with an embedded 0:

> Thanks all point about security, I''ll do as follows. > I thought that the point was the following two. > > > 1. Storage place of encrypted password > Should I store it in /etc/xen/passwd ? > Or, should I wait for DB of Xen that will be released in > the future? The xend life cycle management patches were posted by Alistair a couple of months back.

Hello. I recently tried installing NetBSD-5 on xen-4.0.1-rc5, which resulted in no network (xennet0 can''t get IPs per dhclient and has no connectivity if set by hand). Tried it with netBSD-5.1-RC3-1 i386 PAE & amd64, netBSD-5.0 and even 4, all with the same result. On a older xen version (3.3.1) networking works fine, so I assume it''s a xen bug, and not a netBSD-kernel

I was trying to update my wine package because synaptic said there was an update available and I got the following message W: Failed to fetch http://wine.budgetdedicated.com/apt/pool/main/w/wine/wine_1.1.18~winehq0~ubuntu~8.04-0ubuntu1_amd64.deb Could not connect to wine.budgetdedicated.com:80 (81.171.111.184). - connect (111 Connection refused) [IP: 81.171.111.184 80] I also can not connect

Dear all, Does any one knows why should I get the following error message, when trying to do a simple data.frame?? DataF<-data.frame(Subject,BiomR,Spp,Capas,Litter,Herbs,LitterD,MaxCanH,DDifS p,DSSp,Slope, CanDens,NearestSp) Erro em data.frame(Subject, BiomR, Spp, Capas, Litter, Herbs, LitterD, : arguments imply differing number of rows: 202, 0 The data I am using

Dear R members, I am new in using frailty models in survival analyses and am getting some contrasting results when I compare the Wald and likelihood ratio tests provided by the r output. I am testing the survivorship of different sunflower interspecific crosses using cytoplasm (Cyt), Pollen and the interaction Cyt*Pollen as fixed effects, and sub-block as a random effect. I stratified

Hi friends, I need to generate a list, that should contain the quantile value of one column in a data frame. while I am compiling this one i am facing one bug,, Really I cannot find out that where the problem has occurred? Could any one help me to come out from this bug?? Here is the code, data <- lapply(comb.data$zFE, function(x) aggregate(x,

Dear All: I apologize for asking such an elementary question, but I could not find an adequate response on line. I am hoping to receive some help with the interpretation of the Intercept coefficient in the gam model below. I1 through I3 are dummy coded "Item difficulty" parameters in a data set that includes 4 items. If the Intercept is the value of Y when all other terms are 0, am I

Hi I am working with this data: my data summary is: > summary(spi) open high low close volume Min. :4315 Min. :4365 Min. :4301 Min. :4352 Min. : 0 1st Qu.:4480 1st Qu.:4497 1st Qu.:4458 1st Qu.:4475 1st Qu.:11135 Median :4609 Median :4631 Median :4594 Median :4614 Median :14439 Mean :4620

Until a weeks ago I used stata for everything. Now I'm learning R and trying to move. But, in this stage I'm testing R trying to do the same things than I used to do in stata whit the same outputs. I have a problem with the logit, applying weights. in stata I have this output . svy: logit bach job2 mujer i.egp4 programa delay mdeo i.str evprivate (running logit on estimation sample)

Hello, I probably have a syntax error in trying to generate an expected survival curve from a weighted cox model, but I can't see it. I used the help sample code to generate a weighted model, with the addition of a "weights=albumin" argument (I only chose albumin because it had no missing values, not because of any real relevance). Below are my code with the resulting error

Dear all, I noticed the following while playing around with fitting log-linear models to contingency tables using R 1.8.1, but the problem also exists under R 1.9.0. A reproducible example uses the following contingency table: > library(MASS) > data(quine) > tmp <- with(quine, expand.grid(Eth=levels(Eth), Sex=levels(Sex), + Lrn=levels(Lrn), Age=levels(Age)))

Hello, I would like to do a partial least square discriminant analysis (PLSDA) in R using the package "ropls" Which is in R available via the R command : source("https://bioconductor.org/biocLite.R") I try to do a PLSDA to illustrate the impact of two genders (AP,C) on 5 compounds measured in persons (samples) should be illustrated. When I try to do a PLSDA I get the warning

Hi, there, I found density function?cannot work well on UNIX.R version 2.13.1 (2011-07-08), Platform: i386-pc-solaris2.10 (32-bit) Here is an example from R doucments which can work well on other version. plot(density(c(-20,rep(0,98),20)), xlim = c(-4,4))# But right now the estimated probablity =0 for all point. Do I need do something about float point? Thanks. Alex

Hello I am using the step function in order to do backward selection for a linear model of 52 variables with the following commands: object<-lm(vars[,1] ~ (vars[,2:(ncol(predictors)+1)]-1)) BackS<-step(object,direction="backward") but it isn't dropping any if the variables in the model, but there are lots of not significant variables as you can see here >

Hello, I would like to do a partial least square discriminant analysis (PLSDA) in R using the package "ropls" Which is in R available via the R command : source("https://bioconductor.org/biocLite.R") When I try to do a PLSDA using my own data. The impact of two genders (AP,C) on 5 compounds measured in persons (samples) should be illustrated. When I try to do a PLSDA I get

Hi list, I am using scale() to standardize a distribution? But why does it give me attributes attached to the data? I just want a standardized matrix, that is all. library(mvtnorm) > x <- rmvnorm(15, mean=rep(50, 10)) > x [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [1,] 51.17519 52.34341 49.63084 47.99234 51.63113 50.91391 49.36819 49.23901

Dear all, Consider the model below: > x <- lm(mpg ~ cyl * disp * hp * drat, mtcars) > summary(x) Call: lm(formula = mpg ~ cyl * disp * hp * drat, data = mtcars) Residuals: Min 1Q Median 3Q Max -3.5725 -0.6603 0.0108 1.1017 2.6956 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.070e+03 3.856e+02 2.776 0.01350 * cyl

> Hello, > > I have a question about a discrepancy between the > reported F statistics using anova() and add1() from > adding an additional term to form nested models. > > I found and old posting related to anova() and > drop1() regarding a glm with a dispersion parameter. > > The posting is very old (May 2000, R 1.1.0). > The old posting is located here. >

Hi, I'm new to R and using it for Cox survival analysis. Thanks to this great forum I learned how to compute the HR with its confidence interval. My question would be: Is there any way to get the p-value for a hazard ratio in addition to the confidence interval? Thanks, Thierry -- Thierry Panje Visiting Student Researcher Department of Psychology Stanford