similar to: Error in simulation R-code

Hi, how can i get work Samba 4 Sernet 4.1.7 correctly with NIS. Ist provisioned with rfc2307. When i query a User withi get the following. getent passwd testswi SWI\testswi:*:10000:100:testswi:/home/SWI/testswi:/bin/false I want to change /bin/false to a other value /bin/bash I tried many things to change the value. 1. ldbedit -e vim -H /var/lib/samba/private/sam.ldb samaccountname=testswi

Dear useRs, I am trying to import a raster with the line: nlcd <- raster("/home/jpolo/NRI/nlcd_nri5000.tif") And I keep getting an error like this: "Warning message: In library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE,? : ? there is no package called 'rgdal' Error in .rasterObjectFromFile(x, band = band, objecttype =

Hi, The message "there is no package called 'rgdal'" means that you don't have rgdal installed. https://cran.r-project.org/web/packages/rgdal/index.html Also, you will get very good patial-centric help if you subscribed to r-sig-geo here https://stat.ethz.ch/mailman/listinfo/r-sig-geo Cheers, Ben > On Sep 6, 2017, at 2:52 PM, john polo <jpolo at mail.usf.edu>

Dear List, I have some problem with my simulation code. Here is output from R: > sim.sp <- function(data,CM,n,N) + { + C <- matrix(rep(NA,N),ncol=1) + for(i in 1:N) + { + j <- n + xx <- which(colSums(CM[j,])==1) + V <- names(xx) + V <- paste(V, collapse="+") + V <- paste("SBA~", V) + rd <- round(nrow(data)*(2/3)) + d <-

Indeed, Ben, but the question was something more like it is not a Dependency, just Suggested, so why the error... John: If you read the Introduction to the 'raster' package vignette, it indicates that some input formats are supported within the raster package and some rely on other packages. Clearly the attempt to read a TIFF was an example of the latter. Had you used a different input

Dear List, I'm using gam in a multiple imputation framework -- specifying the knot locations, and saving the results of multiple models, each of which is fit with slightly different data (because some of it is predicted when missing). In MI, coefficients from multiple models are averaged, as are variance-covariance matrices. VCV's get an additional correction to account for how

Dear List, I'm getting an error in mgcv, and I can't figure out where it comes from. The setup is the following: I've got a fitted GAM object called "MI", and a vector of "prediction data" (with default values for predictors). I feed this into predict.gam(object, newdata = whatever) via the following function: makepred = function(varstochange,val){ for

Dear list, I would like to apply my own colours to a stacked area plot, done with qplot, but I have not succeeded... What do I have so far (I am dealing with the development of cover of specific groups of plants): library(ggplot2) library(RODBC) channel <- odbcConnect("myusername", case="tolower") sql <- "select trial, cover_of, dateofsurvey, cover from

Dear list users, I have trouble with covariance analysis. I measured nitrate concentrations in the soil (NO3) and the percentage of legumes (LEG, continuous), affected by 2 different CO2 concentrations (CO2, discrete). I suspect that CO2 has an effect on LEG and NO3, but also that LEG has an effect on NO3, so this is the formula I wrote to test this: NO3 ~ CO2 + LEG + CO2:LEG Will LEG be