similar to: Combining CSV data

I want to add RMySQL and RODBC packages to my R installation on redhat linux box. The command install.packages gives following output. What could be wrong? ******************** install.packages(RMySQL) trying URL `http://cran.r-project.org/src/contrib/PACKAGES' Content type `text/plain; charset=iso-8859-1' length 202145 bytes opened URL .......... .......... .......... ..........

If you multiply a matrix by its inverse you should get an identity matrix. In R, you get an answer that is accurate up to about 16 decimal points? Why can't one get a perfect answer? See for example: c(5,3)->x1 c(3,2)->x2 cbind(x1,x2)->x solve(x)->y x%*%y Vikas Rawal ============================================== This Mail was Scanned for Virus and found Virus free

I want to use grid to modify some boxplots made using ggplot. I would really appreciate if somebody could guide me to a resource on how to use grid to modify such graphics. I guess the basic approach will be similar to using grid to modify lattice graphics. To that extent something that explains use of grid to modify lattice graphics may also be useful. I have gone through vignettes in the grid

I want to read data from a number of files into R. Reading individual files one by one requires writing enormous amount of code that will look something like the following. **************** maptools:::dbf.read("wb-01vc.dbf")->dist1 maptools:::dbf.read("wb-02vc.dbf")->dist2 maptools:::dbf.read("wb-03vc.dbf")->dist3

Recent sensible changes to the dynload mechanism have made an old problem resurface: how should we deal with packages which contain Fortran code and may need to be linked against additional libraries such as -lf2c? The current consensus is that extra Fortran libraries maybe needed are handled via the make variable FLIBS, and that `-lf2c' or `-lg2c' are added by default if g77 is used.

For boxplot(), is it possible to pass in a parameter to change the default way that the 1st and 3rd quartiles are computed? (specifically, I'd like to use type 6 described in the quantile function). Also, what are the options for how outliers are computed, and how can one change them? Thank you [[alternative HTML version deleted]]

Dear R-users, I would like to maximize the function g above which depends on 4 parameters (2 vectors, 1 real number, and 1 matrix) using optim() and BFGS method. Here is my code: # fonction to maximize g=function(x) { x1 = x[1:ncol(X)] x2 = x[(ncol(X)+1)] x3 = matrix(x[(ncol(X)+2):(ncol(X)+1+ncol(X)*ncol(Y))],nrow=ncol(X),ncol=ncol(Y)) x4 = x[(ncol(X)+1+ncol(X)*ncol(Y)+1):length(x)]

This issue has been discussed on this list before but the solutions offerred are not satisfactory. So I thought I shall raise it again. I want to merge two datasets which have three common variables. These variables DO NOT have the same names in both the files. In addition, there are two variables with same name which do not necessarily have exactly same data. That is, there could be some

Hi, I am using Ruby - 1.8.6 and Rails- 1.2.6. When I trying to upload data using the .sql file through my code I got "Mysql::Error: Lost connection to MySQL server during query: rollback;" File size is 6 MB. The code I have used is like: numberOfRecord = ActiveRecord::Base.connection.update(File.open(fileName).read) Please let me know how I upload data using huge .sql file. If

Hi everyone- I have a dataset with multiple "pre" and "post" variables I want to compare. The variables are named "apple_pre" or "pre_banana" with the corresponding post variables named "apple_post" or "post_banana". The variables are in no particular order. apple_pre orange_pre orange_post pre_banana apple_post post_banana person_1

Hi, I'm trying to match two data frames in order to replace the boundary values in a dataframe.1 with values in dataframe.2 ONLY where the pair id1 id2 matches between the two data frames. Eg. > dataframe.1 ... id1 id2 boundary 3307 1095 1108 438.691 3308 1095 1109 438.691 3309 1095 1121 438.691 3310 1096 1109 438.691 ... 3345 1108 1120 438.691 3346 1108 1121 438.691 3347 1108

Hi, I am using devise 1.0.8, and I want to restrict concurrent login of user i.e. same user should not be login from different browser or different location if he already login from some where. and if he really wants to login forcefully then other side sessions for that user should be clear and he should be logout from other sides. Any help would be greatly appreciated. -- Posted via

I estimated spearman's correlation coefficient using cor(). How do I test for significance? Vikas

Deal all, as MCMClogit does not allow for the specification of several chains, I have run my model 3 times with different random number seeds and differently dispersed multivariate normal priors. For example: res1 = MCMClogit(y~x,b0=0,B0=0.001,data=mydat, burnin=500, mcmc=5500, seed=1234, thin=5) res2 = MCMClogit(y~x,b0=1,B0=0.01,data=mydat, burnin=500, mcmc=5500, seed=5678, thin=5) res3 =

Hi, I am new to clustering and was wondering why pvclust using "maximum" as distance measure nearly always results in p-values above 95%. I wrote an example programme which demonstrates this effect. I uploaded a PDF showing the results Here is the code which produces the PDF file: ------------------------------------------------------------------------------------- s <-

Dear all! I have a data frame composed by 13 columns (year, and 12 months). I want to transform this data base in another like this year month values 1901 1 1901 2 1901 3 ..... 1901 12 1902 1 1902 2 .... 1902 12 Is there a possibility to succeed that in R? Thank you! best regards! CR -- --- Catalin-Constantin ROIBU Lecturer PhD, Forestry engineer Forestry Faculty of Suceava Str.

Hi, Suppose, if I create 15 files in my working directory. set.seed(48) lapply(1:15,function(i) {m1 <- matrix(sample(1:20,1686*2,replace=TRUE),nrow=1686,ncol=2); write.table(m1,paste0("file_",i,".txt"),row.names=FALSE,quote=FALSE)}) ?D <-dir() D1 <- D[order(as.numeric(gsub("\\D+","",D)))] D1 ?res <- t(sapply(D1,function(x) {x1<-

Dear R-users I have a problem choosing initial points for the function arms() in the package HI I intend to implement a Gibbs sampler and one of my conditional distributions is nonstandard and not logconcave. Therefore I'd like to use arms. But there seem to be a strong influence of the initial point y.start. To show the effect I constructed a demonstration example. It is reproducible

I need to make weighted boxplots. I found that ggplot makes them. I would however like to label them with the boxplot statistics (the median, q1 and q3). In the boxplot function in r-base, I could output boxplot statistics and then write a text on the plot to place the labels. How would one do it with ggplot? Vikas

I have been struggling to get the legends in ggplot2 right or do away with them altogether (on which I have already sent a post). In the following code, the labels argument in the scale_colour_gradient2 does not give me the desired labels in the legend. Could someone explain? qplot(Year,CDR,data=b3,colour=Phase,geom=c("point","line"),legend.position="bottom")->p