similar to: Legend in plot: symbol for mean and standard deviation

I wish place the following axis label in such a manner that some of the text is plain and the scientific name is in italics (i.e. a mixture of two font types) Using plot: mtext("Total Landings of Pecten maximus (tonnes)",font,=3, side=2, line=3) makes everything italic, but how do I apply the font change to only "Pecten maximus"? Rgds Phil

I'm sure this is a very simple problem but I'm stuck. When running the ./configure script, to install R (version 1.6) on Solaris 2.6, I get an error message at the end of the configuration process "WARNING: f77 and cc disagree on int and double. configure: error: maybe change CFLAGS or FFLAGS?" However, I have seen no documentation on these flags' options, syntax, and how

I tried to save a graphic in a file in the Postscript format but it didn't work (command: postscript(file="blabla",..). Does anybody know how to do that. marco ________________________________________________________________________ Get Your Private, Free E-mail from MSN Hotmail at http://www.hotmail.com

Hi, Does anyone know how to compute the confidence prediction intervals for a nonlinear least squares models (nls)? I was trying to use the function 'predict' as I usually do for other models fitting (glm, lm, gams...), but it seems that se.fit, and interval computation is not implemented for the nls... Cheers Enrique ~~~~~~~~~~~~~~~~~~~~~~~~~~~ Fisheries Research Services, Marine

Hi, I'm having trouble installing R. I'm sure this is a very simple problem but I'm stuck. When running the ./configure script, to install R (version 1.6) on Solaris 2.6, I get an error message at the end of the configuration process "WARNING: f77 and cc disagree on int and double. configure: error: maybe change CFLAGS or FFLAGS?" However, I have seen no documentation on

It seems that the following should work: > x<-read.table('1A.tab',header=T,skip=1); > mode(x[1]) [1] "list" > x[1] p01 R1-00 0.0295 R1-01 0.0283 R1-02 0.0145 R1-03 0.0235 R1-04 0.0339 R1-05 0.0239 R1-06 0.0414 R1-07 0.0259 > hist(x[1]) Error: hist: x must be numeric > as.numeric(x[1]) Error: (list) object cannot be coerced to vector type 14 >

[mailed jointly to maintainers@octave.org, r-devel@stat.math.ethz.ch to reach users with relevant experience. watch where your replies go. what would make using LAPACK and ScaLAPACK easier for Octave and R developers? -- ejr, not subscribed] We plan to update the LAPACK and ScaLAPACK libraries and would like to have feedback from users on what functionalities they think are missing and would

Dear R-helper, I wonder if anyone can help me. I am trying to convert a dataset to a format recognizable by a software onboard a research vessel but I am having problems with some steps. I have a data frame as follows: Conc Lat Lon Depth Point0000 56.25 -5.65 70 Point0001 56.55 -5.35 85 Point0002 56.25 -5.65 65 Point0003 56.37

Hi, I am hoping someone can help me with a sampling question. I am using the following function to sample 10 unique observations: x <- sample(1:100, 10, replace=F) Given the first 10 observations, I need to sample another 5 unique observations from the remainder. I essentially want to do a Monte Carlo type analysis on the results. I would appreciate any feedback. Thanks -- View this

> Hi List, > I'm trying to get a bunch of hardened S+ users to switch to R. They won't > move because they have got addicted to the S+ (.ssc) > scripting files, available for MS windows versions. In these files you > highlight the code you want to execute by mouse, press an arrow in the > menu, and it fires it off to the S+ compiler directly. Is such a facility >

Hello Dimitris, I was goggling for some help on Sensitivity vs 1-specificity and saw your link. I hope you can be of help to me in one of the issue that I am facing in generating combo chart(bar chart and plot). I am a novice and have some difficulty in getting this logic correct. I am give a dataset (I am attaching a sample dataset). I am using a barplot() and passing values for

Dear all, is there an implemented function to compute a weighted standard deviation (-like weighted.mean-) in R ? Thank's a lot in advance Johannes Schnitzler

Hello, I am using urca package to run cointegration. I would like to find the standard error in the (normalized, Johansen) cointegration relationship. How can I do it? As far as I know, The function "cajorls" in the "urca" package provides the normalized cointegrating relationships. Nevertheless, it does not provide the standard deviation of the coefficient for each

Dear R-users, I have a data set where each observation consists of a number of trials (n.trials) that varies between 5 and 7, 6 being most common. Each trial can take either of two outcomes, success or failure. A dummy data set: n.trials <- sample(5:7, 50, replace=T, prob=c(0.2, 0.6, 0.2)) success <- rbinom(50, n.trials, p=0.5) failure <- n.trials - success I know I could test for a

Hi, Could anyone give suggestions how to plot a scatter plot with 1 standard deviation for each point. To make it clearer, here is a simple example: the scatterplot is plot(X, Y), but I want to add 1 standard deviation according to the value of Z for each Y. X Y Z 1 3.5 1.1 . . . . . . . . . Thanks a lot in advance. FD [[alternative HTML

I am trying to do logistic regression with a categorical predictor variable with the glm() function, family=binomial. Using glm() I would like to be able to calculate the confidence intervals of all three possible odds ratios for a factor (the factor has three categories). Three categories imply two columns of 0's and 1's in the design matrix, and two parameter estimates with their

Hi, I have a dataset of 78.903 news articles pertaining to 340 corporate takeovers. Mean 231.3871 [articles per takeover] Std. Dev. 673.6395 I would like to calculate the probability of a certain number of news articles if I had more takeovers available. How likely is it to have X articles if I had Y takeovers? How can I do that? Thank you very much, Michael

Hi all, I've got clusters and would like to match individual records to each cluster based on a sum of squares deviation. For each cluster and individual, I've got 50 variables to use (measured in the same way). Matrix 1 is individuals and is 25000x50. Matrix 2 is the cluster centroids and is 100x50. The same variables are found in each matrix in the same order. I'd like to

Dear list, i'm looking for how to get the mean squared deviation in R. I tried a lot of (complicated) instructions, sometimes the worked, but now i'm looking for an easier one....Hope you can help - greetings.

Hello, I have a vector of values with significant autocorrelation, and I want to calculate an unbiased standard deviation that adjusts for the autocorrelation. The formula linked below purports to provide what I want: https://en.wikipedia.org/wiki/Unbiased_estimation_of_standard_deviation#Effect_of_autocorrelation_.28serial_correlation.29 However, rather than just implementing this equation in