similar to: save to Rdata file and to txt

Hi Everybody, Suppose I have a *txt file*, named "proof" wich I have read it previously using the function *read.table( ). *And suppose I have an algorithm wich requires to load this file "proof" using the function *data ( ) * My problem is the following: how to store the file proof in "*.Rdata"* or.in ".*rda"* format in order to use the function data?

hello all, will you plz tell me how can i convert RData files to txt,,,

Help! I accidentally saved my work as an .rdata format instead of .txt I need to somehow get it saved as a .txt file otherwise i'm really in trouble! Does anyone know how to convert .rdata to .txt files?? I also tried re-loading the file into R to see if i can re-save it but it doesnt work! i've attached it below... please help me asap! i need to turn it in as a .txt file Thanks ps- I

Dear R users, I've written a loop to generate Moran's test (spdep package) on serval subsamples of a large dataset. See below a short example. My loop is working fine, however I would like to be able to store the test results as lines of a matrix, that I would latter be able to export as a dataset. My problem is that I'm not sure how I could do this using R. Any help will be much

I am running R-3.0.3 on RStudio 1.1.183. I have recently gotten the following error message while saving an .RData file with the save.image command. I have not had this problem until recently. Help appreciated. === Error in save.image("bope1a.RData") : image could not be renamed and is left in bope1a.RDataTmp [[alternative HTML version deleted]]

It occurred to me that it would be nice to be able to save a library that I have installed an loaded into my workspace for easy sharing. I suppose it might not work if someone's on a different version of R, but usually since the library is just a collection of functions, it seems plausible that you could just save the functions into your workspace. I'm sure this question is a bit naive,

Hi all, As a part of work flow, I do a lot of experiments and save all my results into rData file... i.e. at the end of all my experiments, I do "save.image("experiment_name_with_series_number.rData")"... However, some times even with the rData files, I cannot remember the context where these data files were generated. Of course, I can make the R data file names and the R

Hi, I have a question on testing spatial autocorrelation on raster data including NA-values. In particular, I like to calculate Moran?s I and Geary?s C indices by using inverse distance weighting matrices. Calculating Moran?s I with moran.test works fine, because the function contains the option "na.action=na.pass". Unfortunately, the function geary.test does not contain this

Dear R users, I have two data frames that consist of statistical information for most countries around the world. One dataframe consists of the latitude and longitude ("coord.csv") of each country, while the other consists of 100's of different attributes ("countryattri.csv") for each country (like, GDP, Population, etc.). The data is organized with a header and then

Dear , This is Elaine. I am computing moran's I using moran.test for a generalized linear model (multiregression). The following contents are the results, and I cannot find the observed Moran's I mentioned as estimate in the manual. Please kindly help indicate if there is observed Moran's I did not notice or other method for calculation. Thanks Elaine data: residuals(modg1)

Dear R-users, I was wondering if someone could give me some advices on the following problem. I tried to apply moran’s test to a small dataset and couldn’t succeed, here is the error message:   mor <- moran.test(x, res2)   Avis dans moran.test(x, res2) :   Out-of-range p-value: reconsider test arguments   mor     Moran's I test under randomization data:  x  weights: res2 

Dear All, I want to change file names. I have file0.1_data.RData (I have several files whose names are file0.x_data.Rdata) I want to rename it to file1_data.RData How can I do it? Thank you for saving my time! [[alternative HTML version deleted]]

I want to do "moran's I test" in R language. I try to use "gearymoran" in Package "ade4","moran" in Package "spdep", and Moran.I in Package "ape". But I do not know how to do it because data format is different. My data: x y dbh 111.03 10.7 7 118.11 0.28 1.2 165.36 0.36 8.4

Hi Are there any more efficient ways of calculating the neighbourhood object for large datasets? I am trying to compute Moran I statistics for a very large data set (over 14,000 points). I have been using moran.test from the spdep package and everything works fine for a small data set (200 points). However, applying the same script to the whole dataset is taking days to compute (it so far has

Hello List, I'm a very new user to the R system. I'm only beginning to learn the basics, but so far I've been able to do little more than try a few examples, and of course begin reading the documentation. My primary motivation for exploring R is the availability of tools like the 'spdep' package for calculating spatial statistics such as Geary's C and Moran's

This is v3 of my disk series. What were previously patches 01-06 have been applied. These are the tested and updated remainder, addressing the previous comments. 1 Preparatory work. 2-4 The new parser and its documentation. 5-6 Replace old parsers with calls to the new one. 7-8 Two features, one of them essential. 9 Basic test suite for disk string parsing, as adhoc script.

dear R users, I have troubles performing Moran.I test as suggested on http://www.ats.ucla.edu/stat/r/faq/morans_i.htm my spatial data are longitude and lattitide of communities. The calculation of the inverse distance matrix according to the homepage (using my data) datAL <- read.csv2("C:\\Konvergenz AL.csv", header=T) ALdist <- as.matrix(dist(cbind(datAL$L?nge,

Hi, I am trying to do a Moran's I test on an ordinal logistic regression model. I have a simple spatial weights matrix listed below I would like to use. Y= 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1 1 0 0 0 0 1 1 0 0 0 1 1 1 1 0 0 0 0 0 1 1 1 1 0 0 0 0 0 1 1 1 1 0 0 0 0 0 1 1 1 1 0 0 0 1 1 0 0 0 0 1 1 0 0 1 0 0 0 0 1 1 I try to run the test as follows- moran.test(order$resid,

Hello all, I'm a new user of R and I have used the spdep package to calculate Moran's I estimates. I used the dnearneigh() function and moran.test() function and obtained what I wanted, but now I want to plot my results with the p-values. I regrouped my results for the Moran's I like >m=c(m1$e,m2$e...) #m1 contain the results of the moran.test for lag1

Colleagues: I am having trouble loading data from within .Rdata file within the environment of a function. That is, the following always loads to the global environment: f1 <- function() { load("mydata.Rdata") # compute with objects from mydata.Rdata. } I wish to load mydata.Rdata only within the function f1. Perhaps I have misunderstood