similar to: New to R

Dear R users, I want to generating random samples from Inverse Gaussian distribution . How can I do? and what package should I install? Thanks. Shirin [[alternative HTML version deleted]]

Dear Sir, I am a professor in one Engineering College. For some research work I want to use the R Software for data analysis like corelation analysis, Regression analysis, Hierarical Bayes techniques and get the tabular as well as graphical output. Please send me a soft copy of the user manual guide on my mail. With Regards, Prof S N Rajan [[alternative HTML version deleted]]

I know that I can get a count of histogram bins in base R with plot=FALSE. However, I'd like to do the same thing with lattice. The problem is that I've set up shingles, and I'd like to get the count within each bin within each shingle. plot=FALSE doesn't seem to do it. [[alternative HTML version deleted]]

Dear all, I want to extract rows from a data frame shown here as "test". For example: rows with with sorting PKB123 PKB22 PKB23 PKB32 CTV19 CTV20 PKB11 PKB11 > dput(test) structure(list(Name. = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 19L), .Label = c("CTV10", "CTV11", "CTV12",

I'm trying to read in a tab separated table with read.delim(). I don't particularly care what the row names are. My data file looks like this: start stop Symbol Insert sequence Clone End Pair FISH 203048 67173930 ABC8-43024000D23 TI:993812543 TI:993834585 255176 87869359 ABC8-43034700N15 TI:995224581 TI:995237913 1022033 1060472

Dear all, I have a 2 by 2 matrix and I would like to do a barplot with it. (so 2 bars with each having 2 stacks.). I would like to have one colors per stack, so 4 different colors total. The problem is that R is only given me 2 colors (the same two for the bottom stack and the same two for the top stack). Any idea how I can do to have 4 colors? (without using ggplot2 preferably) Here is my

Hi,all: I want to perform multiple correspondance analysis via MCA{FactoMineR}. The data is in the attachment. My code: dat<-read.delim("e:\\mydata.txt",header=T) MCA(dat,quanti.sup=7,quali.sup=1:6) Error in `[.data.frame`(tab, , i) : undefined columns selected My question: Why does the error happen? Many thanks. Best. -------------- next part -------------- An embedded and

The rbind on empty and nonempty data frames behaves inconsistently. I am not sure if by design. In the first example, first row is deleted, which may or may not be on purpose: df1 <- data.frame() df2 <- data.frame(foo=c(1, 2), bar=c("a", "b")) rbind(df1, df2) foo bar 2 2 b Now if we continue: df1 <- data.frame(matrix(0, 0, 2)) names(df1) <- names(df2)

Hello, Though Bert's and David's answers are what you should do, note that some R functions that need factors will coerce their input variables when necessary. Have you tried to run the code you haven't posted without coercing to factor? It might run... Hope this helps, Rui Barradas On 4/9/2018 6:11 PM, David L Carlson wrote: > Try the help files: > > ?factor >

Dear all, I have a question concerning the ks.test() function. I tryed to calculate the example given on the German wikipedia page. xi <- c(9.41,9.92,11.55,11.6,11.73,12,12.06,13.3) I get the right results when I calculate: ks.test(xi,pnorm,11,1) Now the question: shouldn't I obtain the same or a very similar result if I commpare the sample and a calculated sample from the distribution?

I'm trying to find duplicate values in a column of a data frame. For example, dataframe (a) below has two 3's. I would like to mark each value of each row as either not being a duplicate of the one before (0), or as a duplicate (1) - for example, as in dataframe (b). In SPSS, I would simply compare each value to it's "lagged" value, but I can't figure out

I have Windows XP Professional Version 2002 and the R-Version 2.1.1. I did cluster analysis with the cluster package and the agnes (method = ?ward?). The results are satisfactory. But the dendrogram of agnes is confused to work with the results. Is there a tool, I can get a clear arrangement of the results for the cluster analysis. For example a matrix with different numbers for each group.

Or add the type column first and then rbind: x <- list(A=data.frame(x=1:2, y=3:4),B=data.frame(x=5:6,y=7:8)) x2 <- do.call(rbind, lapply(names(x), function(z) data.frame(type=z, dat[[z]]))) ---------------------------------------- David L Carlson Department of Anthropology Texas A&M University College Station, TX 77843-4352 -----Original Message----- From: R-help

Dear R experts, I have 2 matix: A& B. I am trying to index B against A - (1) find out B rows that fall between the col 1 and 2 of A& put them into a new vector SNP.I made code as below, but I cannot think of a right way to do it. Could anyone help me with the code? Thanks,Jiang---- A <-

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Dear all, I have a question on applying a function to the data according to factor levels. For example, for the data below, what is the best way to apply a function to "values" according to different levels of "samples" (1,2,3,4,5)? values ind sample 1 0.03325 1 1 2 0.03305 1 1 3 0.03185 1 1 4 0.03515 1 1 5 0.03375 1 1 6 0.01180

Dear Sir, I have xlsx data set which I have imported to R studio. Now some of the variables are defined as numeric but I want define them as factor variable so that I run classification algorithm in R. Please to covert the variables. Thanks and Regards Abu Afzal PhD Eco JNU India

We often refer requesters to the Posting Guide and chide them for not reading it. Recently I had occasion to re-read the Posting Guide which is for all R lists not just R-help. The word "reproducible" does not appear anywhere in the guide. The closest it comes is the following suggestion: "Sometimes it helps to provide a small example that someone can actually run."

Hi list, I am wondering if there is a way to use EM algorithm to handle missing data and get a completed data set in R? I usually do it in SPSS because EM in SPSS kind of "fill in" the estimated value for the missing data, and then the completed dataset can be saved and used for further analysis. But I have not found a way to get the a completed data set like this in R or SAS. With

Try the help files: ?factor ---------------------------------------- David L Carlson Department of Anthropology Texas A&M University College Station, TX 77843-4352 -----Original Message----- From: R-help <r-help-bounces at r-project.org> On Behalf Of Saif Tauheed Sent: Monday, April 9, 2018 11:29 AM To: r-help at r-project.org Subject: Re: [R] convert numeric variables to factor Dear