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Dear R users, Since a long time now, I have the following error when I want to load the tcltk library in R 64 bit. Loading Tcl/Tk interface ...Error : .onLoad failed in loadNamespace() for 'tcltk', details: call: inDL(x, as.logical(local), as.logical(now), ...) error: unable to load shared object 'C:/Program Files/R/R-2.13.0/library/tcltk/libs/x64/tcltk.dll': LoadLibrary

Greetings! I'm having an issue with the windrose produced by the windrose function from the circular package. For our weather stations in North Carolina I'm helping with a script which takes hourly wind speed and direction data to create windroses for our end users. One of the stations in the mountains frequently reaches wind speed of 40 to 60 mph and in storms can reach wind speed over

Greetings all, Ran into a strange problem with the krige function from geoR. The problem that I am having is that while the krige function seems to work well, the resulting predicted values are all NAs. Given the size of the datasets I am working with can't attach it, but I can provide snippets of the datasets. > casedata station year month day obs mpe bias type

R-listers, I'm working on a project where I need to get the lowercase of the county variable in a dataset alike to the example below (only difference is that the full dataset has all the states and counties in the southeast United States). I keep getting this strange error with the lowerize function (which didn't occur the first few times I use the code below), and oddly enough the error

R-listers, I have noticed several posts on issues with difftime producing NA's but they have been for older versions of R. Here's the issue associated with difftime that I am dealing with in R 2.12.2. > preciptime = strptime("01/10/2007 14:00",format="%m/%d/%Y %H:%M") > class(preciptime) [1] "POSIXlt" "POSIXt" > # Now using difftime, this

To all, I'm working with code below to produce a map with station data plotted in points, but right now I'm having trouble with the mapping portion of this code states <- data.frame(map("state", plot=FALSE,xlim= c(-85,-75),ylim=c(33,37))[c("x","y")]) usamap<- ggplot(states)+geom_path(aes(x,y)) usamap When I plot this the problem is that the bounds of

Hello everybody, I've got a bit of a problem with parLapply that's left me scratching my head today. I've tried this in R 2.11 and the 23 bit Revolution R Enterprise and gotten the same result, OS in question is Windows XP, the package involved is the snow package. I've got a list of 20 rain/no rain (1/0) situations for these two stations i and j, all the items in this list look

All, I'm working with ggplot2 to produce some graphics that will be part of my master's thesis. Here's what I would like to do here, (attached is an example of how far I've gotten). I'm working on mapping the values of several different parameters for each station in my study. So far I've been working with scale_color_gradientn to handle the coloring. What I would like

Here's the problem I'm trying to solve in R: I have a data frame that consists of about 1500 cases (rows) of data from kids who took a test of listening comprehension. The columns are their scores (1 = correct, 0 = incorrect, . = missing) on 140 test items. The items are numbered sequentially and are ordered by increasing difficulty as you go from left to right across the columns. I want

Hello All, We have been doing Asterisk and CME implementations recently but we almost always exlusively bring in analog lines and or PRI for PSTN access to our systems. I have known about providers providing SIP based lines and SIP trunks to end users for PSTN access. I am curious about the following: - How practical is this? The idea of terminating pstn calls to across the Internet

Dear R Users, I am using R 2.14.1 on windows How to read netcdf files in R ? Which packeges do we need to install for this, and what commands are used for reading netcdf files. Thanks, Best Regards, Yogesh Tiwari -- Yogesh K. Tiwari (Dr.rer.nat), Scientist, Centre for Climate Change Research, Indian Institute of Tropical Meteorology, Homi Bhabha Road, Pashan, Pune-411008 INDIA Phone:

Hello Everyone! Here's what I'm trying to do. I'm working on generating occurrences of precipitation based upon precipitation occurrence for a station during the previous day and two stations that have already been generated by joint probablities and 1st order Markov chains or by the same generation process. This has to be done for each remaining stations for each month. > genmat

Dear All I have problem with this: > IWJR.temp <-IWJR.missing[sample(1:length(IWJR.missing),1),] Error: subscript out of bounds How I can solved this. Thanks IRD

Hello, About looping, consider the example: for (i in 1:23194) { dat.stat[i,c(2:8)]<-quantile(dat.bat[BL==block[i],2],prob=c(0,0.025,0.25,0.5,0.75,0.975,1)) print(i) } I'd like to have the value of "i" printed for each loop (step). As I could see the values of "i" are shown on screen only after all the work is done. Thanks in advance for any suggestion. Best

I'm a new-ish user using a for loop to create many hundreds of plots. I'm using the "par" function to create them in a 2x2 graphics window. What I'd like to do is output this 4-up graphic to a file every four plots. I really don't care what the filename is, but it would be useful to be able to specify something like "plotnum_1." Any tips on how to go about

All, I am not understanding the scoping used in foreach when it is used inside a function. I keep getting "could not find function" errors for functions that are in memory when I try to use foreach within a function call. I have a simple example below. "testFun" is in memory and works when called by foreach directly, but when I place foreach in a function called

Dear all, I am doing a project on variant calling using R.I am working on pileup file.There are 10 columns in my data frame and I want to count the number of A,C,G and T in each row for column 9.example of column 9 is given below- .a,g,, .t,t,, .,c,c, .,a,,, .,t,t,t .c,,g,^!. .g,ggg.^!, .$,,,,,.,

Hello, I am trying to write a function that first requires randomly sampling items from a set of factors. I need to be able to sample from that same set of factors, but exclude the ones that have already been sampled previously. For example, suppose I have a set of items a-j (a,b,c,d,e,f,g,h,i, and j) and randomly sample a, c, and f from that group. How do I sample again from the larger group

Hey listers, I am trying to do something simple... Check the program below... I would like to create a variable named COLOR according to the conditions that I stablished... But the problem is that it seems that my variable COLOR is checking just on sample, may be last in the loop... Certainly, I am missing something... Thanks in advance, Marcio

Hi, I was wondering if I might be able to ask some advice about doing residual plots for the lmer function in the lme4 package. Our group's aim is to find if the expression staining of a particular gene in a sample (or "core") is related to the pathology of the core. To do this, we used the lmer function to perform a logistic mixed model below. I apologise in advance