similar to: converting character strings to numbers

Hi all, I'm having a strange error that prevents me from installing new packages, or updating packages after reinstalling. The error message is Warning: unable to move temporary installation ‘C:\Program Files\R\R-2.14.2\library\file15045004ac2\sandwich’ to ‘C:\Program Files\R\R-2.14.2\library\sandwich’ for one of the packages that is failing to install/update. This error started happening

Hello, I used the glm function in R to fit a dose-response relationship and then have been using dose.p to calculate the LC50, however I would like to calculate the NOEL (no observed effect level), ie the lowest dose above which responses start occurring. Does anyone know how to do this? [[alternative HTML version deleted]]

Hey all, I need some help with a cross validation. I'm new with R and as well with statistics. I had a group work to create a tool for remote sensing class that extracts the best bands of hyperspectral satellite images that describe vegetation. Its a regression between a linear function of using a normalized differenced index (i-j)/(i+j) while i and j are the bands (in the data these are the

Hi All In the past I have worked with parallel processing in R where a function F is applied to the elements of a list L. The more cpu cores one has, the faster the process will run. At the time of launching the process for (F,L) I will have a certain fixed number of cpu's that I can use. I have tested this approach and it works fine (i.e. package 'multicore' , using 'mapply'

Dear list, I am trying to reclaim what I think is lost memory in R, I have been using gc(), rm() and also using Rprof to figure out where all the memory is going but I might be missing something. I have the following situation basic loop which calls memoryHogFunction: for i in (1:N) { dataset <- generateDataset(i) fit <- try( memoryHogFunction(dataset, otherParameters)) } and

Hello: While running R doing the analysis of my data I (using packages such as BIOMOD or e1071) get the following error as a result of several of my analysis: Error: cannot allocate vector of size 998.5 Mb In addition: Warning messages: 1: In array(c(rep.int(c(1, numeric(n)), n - 1L), 1), d, dn) : Reached total allocation of 4095Mb: see help(memory.size) 2: In array(c(rep.int(c(1,

Hi, I have a query which I would like to translate into R, but I do not know how to do it in an easy way. Assume a data frame has columns A, B and C: A B C 1 1 3 1 1 4 1 1 5 1 2 6 1 2 7 1 3 8 The query is as follows: select A, B, count(*) from data.frame group by A, B order by count(*) desc How do I translate this into R statements in such way that the result is a data frame structured as

Everyone, I'm very new to R, especially when it comes to loops and functions, so please bear with me if this is an elementary question. I cannot seem to figure out how to construct a loop which runs a function until a certain value is computed. For example, say I have the following: num = numeric (10) num [1] = 0 for (i in 2:10) { num [i] = num [i-1] + 5 } This adds 5 to the

Below. -- Bert On Tue, Apr 3, 2012 at 1:47 PM, Danielle Duncan <dlduncan2 at alaska.edu> wrote: > Thanks for the response, I should have clarified that the NOEL is the > smallest dose above which there is a statistically significant effect. > This is not a scientifically meaningful nor defensible definition as it is stochastic, depends on the test used, design, level chosen, etc.

I have data that looks like this: > df1 group id 1 red A 2 red B 3 red C 4 blue D 5 blue E 6 blue F I want a list of the groups containing vectors with the ids. I am avoiding subset(), as it is only recommended for interactive use. Here's what I have so far: df1 <- data.frame(group=c("red", "red", "red", "blue",

Hello! I am trying to duplicate the studentized bootstrap confidence interval calculations in boot.ci() without using boot.ci(). My w/o boot.ci() calculations are close to boot.ci() using the same object from implementation of boot(), but not quite the same (I think the differences are due to how quantiles are computed for z*). Through examining the boot.ci() code, I can see there is a call

Dear All, I'm a beginner user in R and I would like to make a quadratic and plateau model in R. Can you help please with an example? Thanks so much -- Ahmed M. Attia Assistant Lecturer El-Khattara farm Station Agronomy Dept., Zgazig Univ., Egypt Visiting Scientist Haskell Agricultural laboratory Agronomy and Horticultural Dept., Univ. of Nebraska-Lincoln ahmedatia at zu.edu.eg

I am interested in testing two similar nls models to determine if the lines are statistically different when fitted with two different data sets; one corn, another soybean. I know I can do this in linear models by testing for interactions. See Introductory Statistics with R by Dallgaard p212-218 for an example. I have two different data sets I am comparing to lai. ci.re should have very

Hi all, I am looking for low cost online education in statistics. I am thinking of taking online classes on time series analysis and cointegration, etc. Of course, if there are free video lectures, that would be great. However I couldn't find any free video lectures at upper-undergraduate and graduate level which formally going through the whole timeseries education... That's why I would

I want to make a shared object from Fortran code to be loaded with dyn.load(), but have the following messages: # g77 -c kerimp1.f # R CMD SHLIB kerimp1.o gcc -shared -L/usr/local/lib64 -o kerimp1.so kerimp1.o -L/usr/lib64/R/lib -lR /usr/bin/ld: kerimp1.o: relocation R_X86_64_PC32 against `qweight_' can not be used when making a shared object; recompile with -fPIC /usr/bin/ld: final link

Sorry, spoke too quickly! The problem was caused by my editing the MkRules file with an editor that replaces tabs with spaces. Make evidently requires that all lines start with a tab (see http://www.delorie.com/djgpp/v2faq/faq22_17.html). Perhaps worth warning windoze users like myself of such perils in readme.packages or somewhere similar! Now I have a new problem, but it looks fixable.

On Fri, 3 May 2002 drew.tyre@csiro.au wrote: > Full_Name: Drew Tyre > Version: 1.4.0 > OS: Win 2000 > Submission from: (NULL) (140.253.74.225) > > > When creating a rather complex plot, the resulting figures 'shrink' when either > copied to the clipboard or saved as a metafile using the GUI menu. Also saving > as postscript or pdf causes the same problem, as

Is there a command to get cluster criterion for the cluster methods? SAS has its criterion, but I prefer to do it in R. If there is not a command is there code to produce criteria to choose the number of clusters? Adrian Katschke Statistics Grad Student University of Nebraska-Lincoln [[alternative HTML version deleted]]

I received this from Matt Jockers and it worked! I missed something. How can I now see(display) this list? Hi Riann, There are a couple of ways that you could do this. . . the best approach would probably be to use *grep* instead of *which*, but let me show you both ways. On page 30, replace whales.v <- which(moby.word.v == *whale*) with whale_words <- c(*whale", *whales",

I attempted to contact Drew Tyre, but the email I have for him is no longer in service. Hopefully someone can help. I'm using obs.error in R to model turtle occupancy in wetlands. I have 4 species and 20 possible patch and landscape variables, which I've been testing in smaller groups. > zib.out<-obs.error(y=painted,m=numvis,bp=zvars,pcovar=7) I get the following error