similar to: barplot (stacked)

Dear all, i use the following package/syntax to export data to excel: library(xlsReadWrite) write.xls( exportdata,pfad,colNames = TRUE,sheet = 1,from = 1,rowNames = FALSE ) Everything is fine, but the format of the export is not the best. For example, I every time have to adjust the column width. Furthermore there is no possibility to highlight some cell or make them colourful. I create a lot

Hi all, i am new here and this is my first posting. My coding experience in R ist okay, but I have a problem which is related to another aspect of R. I am searching for a surface which execute my commands in R via a click on a button OUTSIDE of R. Concrete: I will write some programs in R and want to execute this files outside of R, so I don't want to start R eyery time if i want an

Hallo all, I`ve read a lot of things in this forum about an Excel export via R. It is no problem to export my data frames via write.table or write.xls (xls or csv), but some things are not very convenient for me: I always have to adjust the column with to see all the numbers or the text and there is no frame between the cells. And I missing the possibility to make some headers bold or coloured.

Dear all, I use the package RCOM to manipulate Excel-Files (Windows). After opening the Excel-File and formatting the cells I want to save the file automatically without request. If I use y[["Save"]] <- TRUE it opens the saving dialog and I have to select the destination for saving. But I simply want to overwrite the existing file without any other workings. Thany your very much

Dear colleagues, i am carrying out an ordinal regression model. I try it on SPSS but I "flirt" with R as well. I have a few questions. 1. What is the most reliable/tested/trusted package for ordinal regression in the R world? 2. Also, I have a statistical question. What is the danger of having to many 'empty cells' in ordinal regression? How many empty cells are too many? Do

Vijesti iz svijeta piramida najaktivnije arheolo?ke lokacije na svijetu Mjese?ni izvje?taj za august 2014. donosi: - Legendarni Graham Hancock na bosanskim piramidama - Potvr?ena veza izme?u podzemnih tunela i piramida - Briljantni profesor Konstantin Mejl o Podzemnom labirintu Ravne - Energetska zraka na vrhu Bosanske piramide Sunca - Konferencija ?Skrivena

Hello, Could anybody offer any advice about implementing a Kohonen self organizing map for categorical data? Specifically I am wondering if there are any pre-existent packages that can deal with categorical data and/or how one would compare the input vector of categoricals with the self organizing map nodes. Thanks in advance. George Chen ----- Original Message ----- From: r-help-request at

I'm new-ish to dovecot and sieve (haven't used it extensively till now) and I'm not sure that I configured everything propperly. The problem is that we're trying to get the following sieve code to run: require ["fileinto", "regex", "date", "relational", "vacation", "duplicate"]; require "duplicate"; if

Suppose I have a long format for a longitudinal data id time x 1 1 10 1 2 11 1 3 23 1 4 23 2 2 12 2 3 13 2 4 14 3 1 11 3 3 15 3 4 18 3 5 21 4 2 22 4 3 27 4 6 29 I want to select the x values for each ID when time is equal to 3. When that observation is not observed, then I want to replace it with the obervation at time equal to 4. otherwise just use NA. How can I implement this with a quick

Hi, > Say we have a large-sized vector of observation A and a time vector with > the same size. The latter vector basically is the time flag when ith > obervation of A occurs, hence A[i] occurs at T[i]. > > I have no trouble with doing: T[A <= 10 | A >=20] for example > > Now, what I am confused: I tried to pull out when the largest value of A > with: > >

Hi Guys, I have this part of a program: library(survival) Gastric <- cbind.data.frame(Gp=c(rep(1,45),rep(0,45)), ### 2nd gp 0 time=c(1,63,105,129,182,216,250,262,301,301,342,354,356,358, 380,383, 383,388,394,408,460,489,499,523,524,535,562,569,675,676, 748,778,786,797,955,968,1000,1245,1271,1420,1551,1694,2363,2754,2950,

Dear r-help users, I have just downloaded the package vegan and I have problems accessing the data to go through the examples in the tutorial. I can see the data when I type "data()" but I am told that the data doesn't exist when I type the name of one of the variables e.g.: > varespec Error: object 'varespec' not found I suspect this could be a way I have my

Dear R-users I have a dataset of 243 lines with replicate information for 20 different individuals (ID). I would like to randomly sample this dataset 100 times with a selection of unique IDs in each sample. First to create a random sample I have; cc<-read.table(blah.blah.blah) names(cc) [1] "CALL" "CONTEXT" "ORDER" "ID"

Dear R-users, Following is part of my data, where slide has 36 levels and block 48 levels. I have done boxplot for each slide on the same graph. There are outliers for each slide and I tried to use indentify functtion to identify outliers in such a way that when I click on an outlier or point, the points will be labelled by either their block or ID or by both but without success. How can I make

--Apple-Mail-30--530209534 Content-Type: text/plain; charset=US-ASCII; format=flowed; delsp=yes Content-Transfer-Encoding: 7bit I recently reformatted my hard disk on my MacBook Pro using a clean install of Leopard (had Leopard before too but not from a clean install). I had to reinstall R, and therefore installed the new version 2.7.1 for Mac. In preparing some graphs, I noticed

Dear all, I using R version 2.9.0 on Windows XP and want to insert data from a data frame in R into a oracle database via sqlUpdate with the package RODBC. My example is the following: TEST0<-data.frame(NR=c(1,2,600),NAME=c("JK","TR","AR"), DATUM=c("2009-01-01","2010-01-02","2010-06-09")) If I create the table in the database with

Dear all, I use R in Batch Mode with the following syntax: X:\...\Rcmd BATCH --slave X\...\test.R X:\...\Log.txt It works very fine. Now I want to write a function and customize the input for my R-File, e.g I want to define the start and the end date. Let's assume that test.R includes only a function like this: analysis<-function(start.date,end.date){...} Is it possible to give