similar to: nested if/else very slow, more efficient ways?

Hello, I would like to use R to process a list of text strings. The text strings are filenames, encoding experimental settings. Based on the information in there I'd like to select certain files and copy only the selected files to another directory. The files are images and there is no need, actually no desire, to open them. Is there a way to use R for copying and pasting files with any

Hello, I would like to remove the last 8 digists of character strings in a vector. Below I added a couple of elements from that vector. I have a problem defining a pattern to replace the digits using for example "sub". Removing the ".tif" part works fine using sub('.tif',"",x), but how do I get rid of the four preceding digits? Thanks for your help, Kim

Hello, I have a time series of data as a data.frame. Occasionally there is one or more days missing (e.g. data available for days 2, 3, 4, 8, 9, 10 --> missing days between 4 and 8). The experimental time information can be found in the 2nd column of "data". I would like to have a continuous time line with one time point per day. Therefore I try to insert lines for the missing

Hi, I'd like to construct a somewhat unusual barplot. In "barplot" I use beside=F as I'd like to have stacked bars. The height of each bar is always the same. Information in my plot is coded in the color of the bar. I therefore need to be able so assign a different combination (or order) of colors to each individual stacked bar. In the example below, the combination of

Hello, in a three dimensional coordinate system, I'd like to find all my experimental data points that fall within an ellipsoid around a fixed coordinate. The fixed point is defined by (x.coord.point, y.coord.point, z.coord.point). The coordinates of the ellipsoid are given by the three vectors x,y,z. In a previous version of my code, I simply used a box instead of an ellipsoid to sort

Hi, with the code below I try to organize sections of a data.frame. The dataframe has 9 data columns. I'd like to order the columns of the data.frame by the sum of the columns' entries. The sections of the columns are identified by "i". The order of the columns is given by the vector "z". Each section of the data.frame is ordered differently. This can be seen when

Hello, I very much enjoy rgl! But when converting the screen output to pdf using rgl.postscript I have encountered three problems: (1) I don't seem to have control over font sizes and point sizes (of added points) in the pdf output. I tried cex from "plot" but that does not have an effect. Initially I got some plots where fonts and especially points were far too small. But now

Hello, I am trying to run some AMOVA analyses with the amova function in the package ade4. When running the example dataset provided in ade4, I noticed a difference between the published results from the same data (Excoffier et al. 1992) and what ade4 calculates. Below are the data for "within sample/population" from ade4 and from the haplotypic distance matrix in the paper:

Dear help-list, I would like to perform a linear regression on the log10 of the two vectors ov.mag.min and res.600nm. The slope and intercept of the regression I use to plot a wider range of ov.mag.min in a double log plot. For a linear regression on only tow points, wouldn't I expect the results for two.points.min to match pretty exactly res.600nm? It does not seem to be the case here.

Dear R-users, I would like to create pdf files with varying paper sizes. The paper size is determine by the number of plots that I squeeze on a page using par(mfcol). I also add text to each of these plots. I observed that depending on the number of plots per page, the default character size is changing, leading to differing font sizes in my plot annotations. I would like to use cex to

Hi, I'm working on a data set that contains a couple of factors and a number of dependent variables. From all of these dependent variables I would like to calculate mean, standard deviation and quantiles. With the function FUN I get all the means and stdev that I want but quantiles are only calculated for the first of the dependent variables (column 8 in the summarize command). What do I

Hello, I've got a matrix consisting of one column with n rows. Each field in the matrix is filled with a character vector. I would like to convert this matrix into a character vector containing the B03_MAH-type entries from the beginning of each row and a data.frame that contains the numeric data, but I am stuck. I have tried to use textConnection with sep = " " but since

Hello, I'd like to reproduce the standard biplot with pc.biplot=TRUE using xyplot in lattice in order to assign different symbols to groupings of observations (similar to the example in fig. 11.2 on page 285 in DAAG). In order to reproduce the biplots I need to know how to scale the observations and variables. In ?biplot.princomp I found that the variables are scaled by 'lambda ^

Dear R helpers, I need to find out maximized log likelihoods, parameters estimates and standard errors (in parentheses) of r largest-order statistics model, with different values of r by using the function rlarg.fit. I want to specify required number of order statistics to the model. I attached my data file with this mail.please help me. Ruposh --- r-help-request at stat.math.ethz.ch wrote: