similar to: Legend in lattice

I am trying to calculate Poisson regression based adjusted rate ratios in R, but R's default in glm does not code the intercept as the global rate. In SAS I use "cell means" coding so that the intercept is the global rate, but I do not know how to do this in R. If anyone knows a way to make glm use "cell means", or an how to find adjusted rate ratios I would be grateful.

Hi I ran the following sweave file in R2.14.1 and upgraded to R2.15 yesterday with the same setup I got the following error message when I rand the following Sweave file > setwd("D:/Cic/Sweave/Parasite/Comb/12") > Sweave("D:/Cic/Sweave/Parasite/Comb/12/ParasiteComb12.Rnw") Error: c("'ParasiteComb12DS.Rnw'", "'ParasiteComb12.Rnw'")

----- Original Message ----- From: "Silvano" <silvano at uel.br> To: <r-help at r-project.org> Sent: Thursday, June 30, 2011 9:07 AM Subject: Tables and merge > Hi, > > I have 21 files which is common variable CODE. > Each file refers to a question. > > I would like to join the 21 files into one, to construct > tables for each question by CODE. >

Hello, I have conducted an SEM in which the resultant standardized path coefficients are much higher than would be expected from the raw correlation matrix. To explore further, I stripped the model down to a simple bivariate relationship between two variables (NDVI, and species richness), where it's my understanding that the SEM's standardized path coefficient should equal the correlation

Colin, If your propose is to create a ternary plot with points and vectors, I think easier do this with graphics based plots instead of trellis based plots. Although, with little work you can do with trellis too. I gave you a reproducible code to put an arrow in a ternary plot. I use the function locator() to extract coordinates. The code is the following

Hi R users, I sent a message yesterday about NA in model estimates ( http://r.789695.n4.nabble.com/How-set-lm-to-don-t-return-NA-in-summary-td3722587.html). If I use aov() instead of lm() I get no NA in model estimates and I use gmodels::estimable() without problems. Ok! Now I'm performing a lot of contrasts and I need correcting for multiplicity. So, I can use multcomp::glht() for this.

Hello list, I have plots with long strings in main=, ylab= or xlab=. So, in I my script I use break long lines to avoid lines hiden on my monitor and in sweave document pages. I use graphics like this plot(1, main="aaaaaaaaaaaaaaaaaaaa bbbbbbbbbbbbbbbbbbbb") but I would like a plot result like this plot(1, main="aaaaaaaaaaaaaaaaaaaa bbbbbbbbbbbbbbbbbbbb") I

Hello, I'm doing some graphics for a paper and a need customize such with filled region above the density curve. My attempts I get something very near what I need, but I don't solve the problem of use semitransparent filled. Below a minimal reproducible code. Someone has any idea? require(lattice) # toy data... dt <- expand.grid(A=1:2, B=1:3, y=1:50) dt$y <- rnorm(nrow(dt), dt$B,

Hi All, I'm running into a problem with GAM (in the MGCV package). When I try to estimate the model, I get the following error message: 1> fit <- gam(ndvi~s(rain)+s(temp)+s(rainl1)+s(rainl2)+s(rainxY)+s(rainl1xY)+s(rainl2xY)+s(tempxY), data=dsub, weights=wvec) Error in while (mean(ldxx/(ldxx + ldss)) > 0.4) { : missing value where TRUE/FALSE needed Using

Hello R-users, I'm currently facing a pretty hard problem which I'm hopping you'll be able to help me with. I'm using R to create images. That alone is not the problem, the problem is that I'm using R to create 168 000 images... My code (which is given below) use different package (raster and rgdal) to import a image (size 20gig) and divide it into 168 000 pictures that are

Hi all, I want to provide the result from D() to curve(), because I want to plot the k-th derivative of some functions. Actually, I copy from console the result given by D() and paste inside curve(). With a lot of functions and high degree differentiation this process is tedious. Can I provide directly?? # what I actually have done (very simple function) D(expression(x^3), "x") # copy

When I use barchart (with default formatting options), I get bars whose lengths/heights are not proportional to their value. For example: http://drop.io/wbagm6s/asset/capture-png Many of the values in this chart are 1; however, because the blue bars extend to the left of the "0" tick mark, those bars appear to represent higher numeric values. Is there a way to make the length of the

Hi weekend R helpers, *Is it possible to get a ylabel on the right hand side axis ==> axis(4)? Thankx, Jan opar <- par(mfrow = c(2,1)) plot(ts.Origi[,1],ylab='NDII', main=name) # Add the legend text in the right order legend.txt <- c("NDII", "Inverse KBDI") legend(2001.8,0.29, legend.txt,col=c(1,2), lty=1)

Hi, I have been running the same code without problem for the last few days, changing data sets etc with no issue. Today I changed the covariates for the model and am now getting this error message: Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : contrasts can be applied only to factors with 2 or more levels Everything in the code looks the same to me, but I'm a

Dear R-ians, I have a question concerning plotting different plots on one figure. I have written a script to plot an image, a legend (based on different rectangles) and a timeseries plot on one figure. In my R-lagnuage it looks like this (without arguments that are not usefull for my question): #---> I first define the functions image.data<-function(...){ .... #-->Plot the

I am using MODIS Tools and am having a lot of difficulty troubleshooting my code. I am a PhD student studying African buffalo in Kruger National Park, South Africa. The study I am currently working on involves a herd of 200 African buffalo caught every six months for 4 years. I am trying to use EVI and NDVI to assess seasonal variation thus I would like mean EVI and NDVI for each observation

Hello list, I'm doing a table with scores and I want include colors to represent status of an individual. I'm using sweave <<results=tex>>= and xtable but I can't get a result I want. My attemps are #----------------------------------------------------------------------------- # code R da <- data.frame(id=letters[1:5], score=1:5*2) col <- function(x){

> On Jun 22, 2017, at 4:44 PM, Caroline <gliddeca at science.oregonstate.edu> wrote: > > I am using the R-package MODISTools (different than MODIS) and am having a lot of difficulty troubleshooting my code. I have spent awhile going through MODISTools tutorials, searching for my error code, looking at the source code. However, I have not been able to find any relevant information

I am using the R-package MODISTools (different than MODIS) and am having a lot of difficulty troubleshooting my code. I have spent awhile going through MODISTools tutorials, searching for my error code, looking at the source code. However, I have not been able to find any relevant information related to my error message. The study I am currently working on involves a herd of 200 African buffalo

##MODISTools example library(MODISTools) library(lubridate) setwd('~/Documents/Modis data') #####MODISTools with buffalo data ###Read in data rename for easier coding tbdata <- read.csv('~/Desktop/All TB data for EVI, NDVI.csv') firstobs <- subset(tbdata, capture.ID == 'B1-1108') firstobs <- firstobs[,c(1,2,2,3,4)] colnames(firstobs) <- c('id',