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...] Bottom to Top [1] Top to Bottom Then, I wrote the following command for importing a grid of binary raw data while specifying the parameters I usually enter under SAGA: > rsaga.geoprocessor("io_grid", 4, list(GRID="199710.sgrd", FILE_DATA="C:/Documents and Settings/lescroel/Mes documents/pub/DATASETS/seaice/polar-stereo/nasateam/final-gsfc/south/monthly/nt_199710_f13_v01_s.bin", NX=316, NY=332, DXY=25, XMIN=-3950, DATA_OFFSET=300, TOPDOWN=1)) and I got: Le service Beep n'est pas lanc?. Vous obtiendrez une aide suppl?mentaire en entrant NET HELPMSG 3521....

Hello, I’m trying to perform a REML analysis using the lmer() function (lme4 package). Well, it seems to work well, except that I’m not getting any p-value (see example below). Can someone tell me what I did wrong? Thanks for your help, Amélie > library(gdata) > dive <- read.xls("C:/Documents and Settings/Amelie/My Documents/Postdoc/CE 2005-2006/divebydive.xls",

Hello, Could someone explain to me why I get so different histograms, in terms of bar spacing, depending on the number of counts entered ? (see example below) > test <- c(0,1,1,1,1,0,0,0,0,0,2,3,2,2,2,3,3,4,5,6,7,5,4,3,4,2,2) > hist(test) I obtain this kind of histogram (what I actually want), i.e. large bars with no space between them x xx xxx xxxx xxxxx xxxxxx

Hi - I'm having a problem trying to use the function GLMM() from lme4. Here is what happens: > library(lme4) Loading required package: Matrix Loading required package: lattice > f1 <- GLMM(success~yearF, data=quality, random=~1|bandnumb, family=binomial, method=PQL) Error: couldn't find function "GLMM" I remember having used lme4 before, without any problem.

Hello, I’m trying to fit the following model: Dependent variable: MAXDEPTH (the maximum depth reached by a penguin during a given dive) Fixed effects: SUCCESSMN (an index of the “individual quality” of a bird), STUDYDAY (the day of the study, from -5 to 20, with 0=Dec 20), and the interaction SUCCESSMN*STUDYDAY Random effect: BIRD (the bird id, as each bird is performing several dives)