similar to: failed when merging two dataframes, why

Dear Mao Jianfeng, "r-help-owner" is not the place for help, but: r-help at r-project.org (CC-ed here) In any case, strsplit() does the job, i.e.: > unlist(strsplit("BCPy01-01", "-")) [1] "BCPy01" "01" You can work with the whole variable, like: splitpop <- strsplit(df1$popcode, "-") then access the first part with >

Dear R-helpers, I want to make a series of boxplots on several numeric univariates with two group variables (species and population, population nested in species, and with population as the X-axis). In order to get a proper order of the individual populations in X-axis, I need to assign a wanted order to the factor (population). I used the levels() function to do this assignment, but it seemed

Hi R-listers, I am new to R and programming. I have a large dataframe composed of two grouping variables (species, population, with populations nested in species) and tens of continuously numeric variables. For each numeric variable, I want to make a boxplot with population as the X axis and the boxes filled according to which species it is belonging to. But, that is a definitely tedious work. I

I have problems getting a histogram with relative frequencies on the y-axis. Here is an example data set: > a <- c(4.626, 4.627, 4.627, 4.628, 4.629, 4.629, 4.630, 4.631, 4.632, 4.632) > d = hist(a,freq=F) > d$density [1] 299.9999 100.0000 200.0000 100.0000 100.0000 200.0000 The obtained densities are given by counts/(total n * bin width), with bin width being

Hello, For numbers in the range 100 to 100,000,000 I'd like to decimal align a right-justified comma-delineated column of numbers, but I haven't been able to work out the proper format statement. format(num, justify=right, width=15, big.mark=",") gets me close, but numbers larger than 1,000,000 project a digit beyond the right edge of the column, which I really don't

Dear All: I have the following data: 0 100 0.5 79.9605 0.75 84.7098 1.5 72.1793 2.5 97.4924 4.5 90.9696 8.5 59.9794 24.5 76.4859 456 100.0000 457.5 116.7381 460.5 118.7550 464.5

R gurus: I'm trying to get another round of rconifers out and I need some advice/help crushing differences in the examples test. I'm trying to make sure the max sdi values are being respected. I've added a tests/rconifers-Ex.Rout.save (from windows i386-pc-mingw32) and when I ran R CMD check (both R-2.13.0), I got the following results: * using log directory

Dear All, Need some help in polynomials transformation to get the coefficients. I have tried "poly.transform" as applied in S-plus but it does not work. Thanks in advanced for any helps. Regards. Abd. Rahman Kassim (PhD) Head Forest Ecology Branch Forest Management & Ecology Program Forestry and Conservation Division Forest Research Institute Malaysia Kepong 52109 Selangor,

Dear Rxperts, I have the following data: Study Study.Name C Category TC Time QC QO SD FSD Theta 1 NONE 0 P(22) 0 0.00 7.5596 0 0 8.0361e-03 0 1 NONE 6 G(50) 0 0.00 1.0000 0 0 0.0000e+00 0 1 NONE 2 F(02) 0 0.00 100.0000 0 0 0.0000e+00 0 1 NONE 3 F(03) 0 0.00 13.2280 0 0 1.6732e-02 0

Hi, all I wanted to fetch data from Bloomberg for govt bonds, and analyse it further. I am having trouble in getting data as when I use field=PX_LAST, it is giving the prices but when I use field=CPN, or ISSUE_DT, it is not giving the results and just bouncing back <NA> for that. This is the piece of code: > library(rJava) Warning message: package 'rJava' was built

Hi all, This question is not really R related, rather on Statistics subject itself. Even I did not do those using R. however still I want to post it here, because my hope is I could get help from great statisticians who are the very active member of this group. My problem is to interpret Variance decomposition of VAR model in layman's language. Using EViews I got following : Variance