similar to: strange plots with type = "h" option

Hello, Could you please tell me how i can get an input from the user in R? C-Ming Mar 29, 2005 --------------------------------- [[alternative HTML version deleted]]

Dear R-Users, how to include error bars within lattice? How should the panel = function(x,y,...){ looks like? Does panel.arrows works here as well? I appreciate any help on this. Regards, Mario AT [[alternative HTML version deleted]]

Greetings all, I'm trying to create a CentOS 4.4 kickstart CD (not a network install), duplicating what I've done for Fedora Core 3. I am having a cirular dependency for initscripts, which causes initscripts not to be installed (no /etc/inittab when the boot gets to INIT) The cascade is: initscripts-7.39.25.EL-1.centos4 requires /sbin/nash /sbin/nash is in mkinitrd-4.2.1.8-1

Hello R-helpers I want to put a color scale in a plot: I've got an xy plot where the values of the response (z=f(x,y)) is symbolically given by colors (like heat or rainbow color scale) I would like to put such a scale with apprpriates labels in the plot, so as to facilitate the interpretation (like in a finite elements result plot) How is taht possible? Thanks Anne [[alternative

> > Leaf Sun wrote: > > The histogram is highly screwed to the right, say, the range > > of the vector is [0, 2], but 95% of the value is squeezed in > > the interval (0.01, 0.2). I guess the histogram is as you wrote. See http://web.maths.unsw.edu.au/~tduong/seminars/intro2kde/ for a short explanation. > -----Original Message----- > From: Berton Gunter

Newbies (and others!) may find useful the R Reference Card made available by Tom Short and Rpad at http://www.rpad.org/Rpad/Rpad-refcard.pdf or through the "Contributed" link on CRAN (where some other reference cards are also linked). It categorizes and organizes a bunch of R's basic, most used functions so that they can be easily found. For example, paste() is under the

Hi, How can I read data of unequal number of observations (rows) as is (i.e. without introducing NA for columns of less observations than the maximum. Example: A B C D 1 10 1 12 2 10 3 12 3 10 4 12 4 10 5 10 Thanks in advance. Sachin --------------------------------- [[alternative HTML version deleted]]

How do I manipulate the read.table function to read in only the 2nd column??? [[alternative HTML version deleted]]

Can the packages that I've installed in R 2.2.1 be automatically imported to R 2.3.0? Otherwise it is a hassle everytime I update a new version of R... [[alternative HTML version deleted]]

Can anyone comment or point me to a discussion of the pros and cons of robust regressions, vs. a more "manual" approach to trimming outliers and/or "normalizing" data used in regression analysis?

Is there anyway to have a function prompt the user for a working directory, equivalent to file.choose()? --Paul

Newbies (and others!) may find useful the R Reference Card made available by Tom Short and Rpad at http://www.rpad.org/Rpad/Rpad-refcard.pdf or through the "Contributed" link on CRAN (where some other reference cards are also linked). It categorizes and organizes a bunch of R's basic, most used functions so that they can be easily found. For example, paste() is under the

What would be nice is to have something like a "robust" task view... Andy From: Berton Gunter > > Many thanks for this Martin. There now are several packages > with what appear to be overlapping functions (or at least > algorithms). Besides those you mentioned, "robust" and > "roblm" are at least two others. Any recommendations about > how or

Could someone please suggest a more clever solution to the following problem than my loop below? Given X a 2xN matrix X, and I a k-subset of N, Generate the (2^k)xN matrix Y with columns not in I all zero and the other columns with all choices of an entry from the first or second row of X. For example, with X <- matrix(1:8, nrow=2) I <- c(1,3) X is 1 3 5 7 2 4 6 8 and Y should be 1 0 5

Hi, I am looking for functions that would allow me to access raw binary data of R vectors. One way would be to use: x = (1:10)*pi writeBin(x, "temp.bin") r = readBin("temp.bin", "raw", n=length(x)*8) Other to write my own C code. Is there any other simpler way? I this message is a rewording of my yesterday message "Looking for function for Double to

Hello, supposing that I have two or three clear categories for my data, lets say pet preferece across fish, cat, dog. Lets say most people rate their preference as being mostly one of the categories. I want to do pca on the data to see three 'groups' of people, one group for fish, one for cat and one for dog. I would like to see the odd person who likes both or all three in the

R listers: I have been foiled by plotmath! (in R 2.01,Windows 2000) The task: Plot a normal density and label the ticks as mu - 3 sigma, mu - 2 sigma, ...., mu + 3 sigma, where the mu's and sigmas appear as Greek symbols, of course. The following code does this: x<-seq(-3,to=3,by=.01) y<-dnorm(x) plot(x,y,type='h',col='lightblue',axes=FALSE)

Peter You question is difficult to answer without more information about the distribution of your residuals. Different residual patterns call for different transformations to stabilize the variance. One very common form of heterocedasticity is increasing variance with increasing values of an independent predictor, i.e. the variance of the residuals of y=x increase as x increases. In this case a

Hi all, I've got a script that generates a few moderate-size data frames, and then puts them together into one big data frame at the end in order to write that data frame to disk, so that it may be re-opened later on... I'm trying to trim down memory requirements in this script, so I was wondering if there was any way to append to a data frame already saved on disk (just like

Dear list I have a vector of values that allegedly have a bivariate normal distribution. I want to create a plot that shows the values I have obtained, and the bivariate normal distribution curve for the data. Is there a way of doing this in R? Many thanks for your help, Sarah. --------------------------------- [[alternative HTML version deleted]]