similar to: number of distinct values in a dataframe

Hi R-users, My question is more methodological one, rather than technical. I have to samples representing residuals based on two measurements techniques (resid1,resid2; n=69). I need to compare two samples, to reject one technique (the worse one), and to keep the one which gave lower residuals (better one). What to look for? What should I analyse? Means, variance, std. deviations? Based on

Hi R-users, I am using "postscript("xx.eps", horizontal=FALSE, onefile=FALSE, height=6, width=10, pointsize=10)" and "barplot(xx.dat)" in R to produce EPS graphics for LATeX document. When checking the graphics with "gv" I see that it was not produced with full details. The main graphic is there, but axes labels and titles are missing. While checking the

Hello R-users, Is there any more sophisticated way how to identify the dataset outliers other then seeing them in boxplot? I wanna exclude them from further analysis and I am interested in their position in my vector data. Rado -- Radoslav Bonk M.S. Dept. of Physical Geography and Geoecology Faculty of Sciences, Comenius University Mlynska Dolina 842 15, Bratislava, SLOVAKIA tel: +421 2 602

Hi R-users, I have a set of elevation residuals as geodata points. I would like to display them in the following way: -negative values using pch=20 (filled circle) -positive values using pch=1 (empty circle) while using the cex.max=5, cex.min=0.1 for points() to represent the residuals value. Basically I would like to distinguish neagtive and positive values at my map. How to do this. Thanks

Hi, Does anybody know suitable documents (manuals) on writing user functions (covering loops, conditions ...) in R? Other than the usually available manuals. Thanks, Rado -- Radoslav Bonk M.S. Dept. of Physical Geography and Geoecology Faculty of Sciences, Comenius University Mlynska Dolina 842 15, Bratislava, SLOVAKIA tel: +421 905 968 127 e-mail: rbonk at host.sk

Hi, I'm new to "R". I have a matrix of 6x12. I need to produce matrix of 12x6, such that rows in new matrix are columns from original matrix, and columns in a new matrix are rows from the original one. I was playing with rbind(), and cbind() with no success. Regards, -Rado -- Radoslav Bonk M.S. Dept. of Physical Geography and Geoecology Faculty of Natural Sciences, Comenius

Dear R users, I have to include typical UNIX formated R commands and outputs into the article using LaTeX. What is the easiest way to include R prompt commands and text outputs (including messages) into LaTeX documents? Is there any template or library? So far I'm trying to produce R commands in LaTeX using LaTeX general format options. Thanks, Rado

Dear R-users, I was able to make ROracle package to connect to the DB (Oracle91, 64bit, on Solaris). But after executing siple SQL query, "fetch" commaned gives me an empty dataframe. ### RORACLE INSTALATION PROCEDURE ### R CMD INSTALL --configure-args='--enable-extralibs' --enable-oracle32=no ~/tmp/ROracle_0.5-5.tar.gz #since we have 64bit Oracle9i instalation PROBLEM:

Dear R users, I'm coming back to R after while. I have a data frame with 200 columns, each column has a name. How to extract all columns to a new dataset, but the specified (by names) ones? I was playing with that for a little bit using the vector syntax but got several syntax errors. Thanks, Rado

Dear R-users, I have two outliers related questions. I. I have a vector consisting of 69 values. mean = 0.00086 SD = 0.02152 The shape of EDA graphics (boxplots, density plots) is heavily distorted due to outliers. How to define the interval for outliers exception? Is <2SD - mean + 2SD> interval a correct approach? Or should I define 95% (or 99%) limit of agreement for data interval,

Dear R users, I'm working on implementation of hydrometeorological DB in Oracle9i and would like to use R, as a plotting engine for graphs and maps and also to perform some non trivial statistics on DB data using R. Thus any links with examples or efforts on: - general DB and R cooperation - Oracle91 and R cooperation - Oracle PL/SQL and R are welcomed. Thanks in advance, Rado --

Dear R-users Sorry for posting the previous message too soon before I have finished it. I have matrix (mprecip) with headers: > dim(mprecip) [1] 6268 170 > mprecip date GilzeRijen Eindhoven Volkel ZuidLimburg Arcen Ubachsberg 1 01/01/1978 NA 0.0 NA 0.1 NA NA 2 01/02/1978 NA 0.0 NA 0.0 NA NA 3

Dear R-users, In order to use ROracle (v. 0.5-5) package I compiled R-1.9.1 on Linux (2.4.20-28.9smp) and installed it. I need to use Oracle9i on Solaris. When executing "library(ROracle)" I got the following error message: > library(ROracle) Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library

Hello, I am the author of the Bonk audio compression program... i've just been looking at your comparrison table, and i noticed bonk gets marginally better compression than Flac on some files (actually i was rather surprised to see bonk on the list at all, it's not exactly high profile :-) ). Bonk in lossless mode is a pretty naive implementation of a predictive coder, so the main

Listers, I have a question regarding correlation matrices. It is fairly straight forward to build a correlation matrix of an entire data frame. I simply use the command cor(MyDataFrame). However, what I would like to do is construct a smaller correlation matrix using just three of the variable out of my data set. When I run this: cor(MyDataFrame$variable1,

I'm having trouble using split on a very large data-set with ~1400 levels of the factor to be split. Unfortunately, I can't reproduce it with the simple self-contained example below. As you can see, splitting the artificial dataframe of size ~13MB results in a split dataframe of ~ 144MB, with an increase memory allocation of ~10 fold for the split object. If split scales linearly, then my

Hi All, I'm looking for ways to compute aggregate statistics (with the aggregate function) but with an option for sorting and selecting a subset of the data frame. For example, I have would like to turn this : aggregate(myDataframe$TargetValue,list(SomeFactor = myDataframe$SomeFactor),mean) into something like aggregate(myDataframe$TargetValue,list(SomeFactor =

Hi guys, here is a list of names that I have: MyList: > myList<-list("A", "B","C","D") > myList [[1]] [1] "A" [[2]] [1] "B" [[3]] [1] "C" [[4]] [1] "D" I want to turn this list into a matrix of 1 row and 4 columns with those four components (A, B, C, D) so here is what I do: myDataFrame <-

I am new to R and have tried for a good while to figure out how to code this in R. The dataset below: FTIStandKey State County FTITract CoverType Ver_CT V_Origin V_SpGrp NAH6005-001 Texas Jasper NAH6005 PPLB-2000-U PPLB-2000-U P P NAH6005-002 Texas Jasper NAH6005 NHHX-1950-O NHHX-1950-I N H NAH6253-001 Texas Tyler NAH6253 PPLB-2001-U PPLB-2001-U P P

Dear people, I am including an example of a dataframe: mydataframe<-data.frame(X=c(1:4),total_bill=c(16.99,10.34,21.01,23.68),tip=c(1.01,1.66,3.50,3.31),sex=c("Male","Male","Male","Female")) When I use the sapply function getting the information about the factors works: sapply(mydataframe,function(x)is.factor(x)) X total_bill tip