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OK, I need help!! I've been searching, but I don't understand the logic of some this dataframe addressing syntax. What is this type of code called? test [["v3"]] [is.na(test[["v2"]])] <-10 #choose column v3 where column v2 is == 4 and replace with 10 and where is it documented? The code below works for what I want to do (find the non-missing value in a row),

I am lousy at simple regex and I have not found a solution to a simple problem. I have a vector with some character values that I want to split. Sample data dd1 <- c( "XXY (mat harry)","XXY (jim bob)", "CAMP (joe blow)", "ALP (max jack)") Desired result dd2 <- data.frame( xx = c("XXY", "XXY", "CAMP",

sir i could not find the plant breeding libraray in Rgui3.0.0 [[alternative HTML version deleted]]

Hi I got the following error using as.xts Error in xts(x, order.by = order.by, frequency = frequency, ...) : NROW(x) must match length(order.by) Here is how the data looks like > d1 <- read.csv(file.path(dataDir,"AppendixA-FishCountsTable-2009.csv"), as.is=T) > d1[1:3,] dive_id date time species count size site depth level TRANSECT VIS_M 1 62 10/12/2009

How does one write formatted, say "C style", output to a text file. I want something like "y=mx+b" for my linear regressions but with m and b derived from the fit objects. Also, how does one go about extracting just the slope or intercept from such an object. - Greg [[alternative HTML version deleted]]

Hi I am very new to R and have not able to find the answer to my question in the manual or any other post. I have a dataset that has various different sites names with data relating to each site. The data is in one dataset. I want to loop through the different site names and perform my test on each site. The sites are named not numbers for example "YYC". How do I do this. I hope I

Dear All, I have two simple data samples (no groups or factors, etc.) and would just like to compute the two-sample Wilcoxon Rank Sum test using the wilcox_test function contained in the coin package, which is reportedly better than the regular wilcox.test function because it performs some adjustment for ties. Would anyone know how to craft a script to perform this task? Much appreciated. Janh

Short question: Is it possible to use statistical tests, like the Augmented Dickey-Fuller test, in functions with for-loops? If not, are there any alternative ways to scale measures? Detailed explanation: I am working with time-series, and I want to flag curves that are not stationary and which display pulses, trends, or level shifts. >df DATE ID VALUE2012-03-06 1

Hello Everyone I have the data long format and I want to draw the contour plot with it x1 x2 x3 0 1 2 0 2 1 0 3 5 1 1 4 1 2 2 1 3 3 when I am using contour(x1,x2,x3,col=heat.colors) or fill.contour its giving me an error that increasing x and y expected So please tell me what is the right function to draw contour when the data is not ordered and you cant order

guRus! I have a function f = exp(x^2-y+(1/z)) Also, x can take values from 1 to 37, y from 2 to 20 and Z from -13 to 51. How can I find the maximum of f using any of the optimization functions please? Is there a way to store the possible values of x, y and Z in a single variable like in a List or in a multi-dimensional array? Thanks for your help Raghu [[alternative HTML version deleted]]

Dear R users, I hope you all are doing great. Is there a way to automatically upgrade my R 2.15.0 to the new R 2.15.2 release instead of having to reinstall the new release? Any information regarding this would be greatly appreciated. Best regards, Paul -- View this message in context: http://r.789695.n4.nabble.com/Updating-R-2-15-0-to-2-15-2-tp4647542.html Sent from the R help mailing

Hi all, I am trying to write a new function based on an existing function in "stats". This function requires to call a c program "C_BinDist". The new function couldn't work without load this c script. How can I find this "C_BinDist" function and load it to make my new function work through? Thanks, Dan [[alternative HTML version deleted]]

On 3/3/15 1:26 PM, Herv? Pag?s wrote: > > > On 03/03/2015 02:28 AM, Martin Maechler wrote: >> Diverted from R-help : >> .... as it gets into musing about new R language "primitives" >> >>>>>>> William Dunlap <wdunlap at tibco.com> >>>>>>> on Fri, 27 Feb 2015 08:04:36 -0800 writes: >> >> >

Hi I am comparing four different linear mixed effect models, derived from updating the original one. To compare these, I want to use anova(). I therefore do the following (not reproducible - just to illustration purpose!): dat <- loadSPECIES(SPECIES) subs <- expression(dead==FALSE & recTreat==FALSE) feff <- noBefore~pHarv*year # fixed effect in the model reff <-