similar to: split a character variable into several character variable by a character

Hi, R-listers, Failed, when I tried to merge df1 and df2 by "codetot" in df1 and "codetoto" in df2. I want to know the reason and how to merge them together. Data frames and codes I have used were listed as followed. Thanks a lot in advance. df1: popcode codetot p3need BCPy01-01 BCPy01-01-1 100.0000 BCPy01-01 BCPy01-01-2 100.0000 BCPy01-01 BCPy01-01-3 100.0000 BCPy01-02

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

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 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

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

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

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, 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,

Hi Elaine I do not use it very often. I programmed it to mimic Minitab functions (partly) with some adons from czech statistics textbook written by M.Meloun (meloun militky statistics - first hit in google) Basically you can have your data in some data frame or they can be as separated vectors. The function itself expects input of 3 vectors, but you can easily to modify it for imput as

The new code seems to have broken various things. Autoloading of libraries doesn't seem to work: > library(survival4) Autoloading required library: splines Error in pos.to.env(pos) : invalid "pos" argument > search() [1] ".GlobalEnv" "library:survival4" "library:date" [4] "library:base" The coxph function the

The new code seems to have broken various things. Autoloading of libraries doesn't seem to work: > library(survival4) Autoloading required library: splines Error in pos.to.env(pos) : invalid "pos" argument > search() [1] ".GlobalEnv" "library:survival4" "library:date" [4] "library:base" The coxph function the

https://bugs.freedesktop.org/show_bug.cgi?id=70130 Priority: medium Bug ID: 70130 Assignee: nouveau at lists.freedesktop.org Summary: unable to compile fragment shader program Severity: normal Classification: Unclassified OS: Linux (All) Reporter: infyquest at gmail.com Hardware: x86 (IA32)

Dear Ruser's I ask for helps on how to substitute missing values (NAs) by mean of the group it is belonging to. my dummy dataframe is: > df group traits 1 BSPy01-10 NA 2 BSPy01-10 7.3 3 BSPy01-10 7.3 4 BSPy01-11 5.3 5 BSPy01-11 5.4 6 BSPy01-11 5.6 7 BSPy01-11 NA 8 BSPy01-11 NA 9 BSPy01-11 4.8 10 BSPy01-12 8.1 11 BSPy01-12 6.0 12

Dear R-help listers, I am new. I just want to get helps on how to plot two histograms overlapped in the same plane coordinate. What I did is very ugly. Could you please help me to improve it? I want to got a plot with semi- transparent overlapping region. And, I want to know how to specify the filled colors of the different histograms. I also prefer other solutions other than ggplot2. Many

Dear R experts: I am running some calculations using polr() in MASS library, and found some differences in results obtained on two different machines (IRIX 6.5, and Linux RH 7.1). It is not clear to me whether this is due to some error in my programming the calculation and how to resolve the differences, if possible. The polr() call is the following:

Hello dear R-users, I have a tricky problem of data manipulation with R. Although it seems very easy, I can not solve it by myselves. The problem is a variable in my dataset is usually be readed as "factor" (variable mode), however I want it be a "numeric" one. I want to know how can I define an variable/column in a dataframe as numeric mode, after I imported a large

Dear R-listers, There is my data and my codes to create a plot. I want to know why there are two small circles in the upper right and lower left of the plot respectively. Could you please share your experience or advice with me? # dummy data factor<-rep(c("Alice","Jone","Mike"),each=100) factor<-factor(factor) traits<-c(rnorm(100, mean=1, sd=1), rnorm(100,