similar to: Frequency table to histogram

Dear r-help contributors, I have two questions: first: I have a matrix A and a vector B. I want to make a new matrix C, which is made of the rows of A having a value included in B. Second: I have two matrixes A and B, of different dimensions. B has unique values in column 2 and A has not unique values on column 2. I want to merge this two matrixes by the values in the columns 2 of B and 2 of

Dear List, I would like to create several graphs of similar data. I have x and y values for several different individuals (in this case fish). I would like to plot the x and y values for each fish separately. I can do it using a for loop, but I think I should be using "apply". Please let me know what I am doing wrong, or if there is a "better" way to do this. What I have

Hi, I am trying to figure out the observed acceptance rate and M, using generalised rejection sampling to generate a sample from the posterior distribution for p. I have been told my code doesn't work because I need to "take the log of the expression for M, evaluate it and then exponentiate the result." This is because R is unable to calculate high powers such as 545.501. As

Hi, I am trying to create a power curve to show how the power of a t-test varies depending on the mean. Any ideas how I should go about this? Louisa _________________________________________________________________ [[alternative HTML version deleted]]

Dear R-users, I have very recently started learning about object-oriented programming in R. I am far from being an expert in programming, although I do have an elementary C++ background. Please take a look at these lines of code. > some.data = data.frame(V1 = 1:5, V2 = 6:10) ; > p.plot = ggplot(data=some.data,aes(x=V1, y=V2)) ; > class(p.plot) ; > [1] "ggplot" My

Dear, I want to fit an inverse gaussion distribution to a data set. The predictor variables are gender, area and agecategory. For each of these variables I've defined a baseline e.g. #agecat: baseline is 3 data<-transform(data, agecat=C(factor(agecat,ordered=TRUE), contr.treatment(n=6,base=3))) The variable 'area' goes from A to F (6 areas: A,B,C,D,E,F) How can i

Hi, I am trying to write R code to produce a power curve to show how the power of a Wilcoxon-test varies depending on the mean, with data generated from a uniform distribution. Any ideas how I should go about this?Louisa _________________________________________________________________ Amazing prizes every hour with Live Search Big Snap [[alternative HTML version deleted]]

Dear, I'm very new to R Gui and I have to make an assignment on Gamma Regressions. Surfing on the web doesn't help me very much so i hope this forum may be a step forward. The question sounds as follows: The data set is in the library MASS first install library(MASS) then type data(mammals) attach(mammals) Assignment: Fit the gamma model and lognormal model for the mammals data.

Dear R-users, I am preparing graphs for an upcoming article using the different functions of the ggplot2 package and I've been having problems with the legend background. It doesn't seem to scale when the text size is increased. Here's the mandatory reproducible example: library(ggplot2) repFrame <- data.frame(A= 1:10, B= rnorm(1:10), groupNum = rep(c("First group",

Dear all, The 'make check' step fails for the pacakge mva on IBM AIX. The tail of the Rout log file looks like: > for(factors in 2:4) print(update(Harman23.FA, factors = factors)) Call: factanal(factors = factors, covmat = Harman23.cor) Uniquenesses: height arm.span forearm lower.leg weight 0.170 0.107 0.166

R-help - I have this set of aggregated tables (sample data below via dput()). And I would like to have delayValue as the column variables with the "temp" (temp1, temp2, temp3) values as the row variables. However I would like to have the temp variables *aggregated into single rows* so that I have the frequency ("Freq" | counts) of each time each "delayValue" occurs

Hi R users I have a dataset which represents points that are market by patients as the source of pain. Basically the patients indicates by a cross on a chest pictures where he/she thinks is the source of pain. The data was then digitalized by divinding the chest into small squares and each square was give value 1 if it was the center 2 if it was touched by the markings and 3 if it was not

Hi all, Here I am trying to implement the switch() function to choose value of a variable depending on the value of an input variable :   temp1 <- "1"               temp1.name <- switch(temp1,                                   1 == "aa",                                   2 == "bb",                                   3 == "cc",

Dear all, I'm trying to gsub() "%" with "\%" with no obvious success. > temp1 <- c("mean", "sd", "0%", "25%", "50%", "75%", "100%") > temp1 [1] "mean" "sd" "0%" "25%" "50%" "75%" "100%" > gsub("%",

this is a bad question but I can't figure it out and i've tried. if i sort the 2 column matrix , temp1, by the first column, then things work as expected. But, if I sort the 1 column matrix, temp2, then it gets turned coerced to a vector. I realize that I need to use drop=FALSE but i've put it in a few different places with no success. Thanks. temp1 <-

I am using R 2.1.1 in an windows XP environment. I have 2 dataframes, temp1 and temp2. Each dataframe has 20 variables (“cocolumns") and 525 observations (“rows”). All variables are numeric. I want to create a new dataframe that also has 20 columns and 525 rows. The values in this dataframe should be the sum of the 2 other dataframe. (i.e. temp1$column

i'm sorry. i had an error in my previous code because i left out a letter in the rownames. while fixing that, i also found a solution. so i'm sorry for the confusion. below is my fix. temp2 <- matrix(rnorm(10),nc=1,nrow=10) rownames(temp2) <-

Hello, Anybody help me out? I done googled it good and didn''t find anything (which should mean that I''ve done something wrong). Not much code to talk about here, quite simply I have an attribute that is serialzied and when I update it, irb shows the object and my methods run on it as it were indeed so. Though when I reload it changes the data to a string. Not yaml, just one

Hi all, hope you having a nice day, I ahve this weird results with identical (probably I am not understanding correctly what it does ...) I have these two data frames and I issue : > identical(temp, temp1) [1] FALSE However, these data frames are Nx2 and when I issue: > identical(temp[,2], temp1[,2]) [1] TRUE > identical(temp[,1], temp1[,1]) [1] TRUE and the results from str >

Hi, I have a data.frame that is date ordered by row number - earliest date first and most current last. I want to create a couple of new columns that show the max and min values from other columns *so far* - not for the whole data.frame. It seems this sort of question is really coming from my lack of understanding about how R intends me to limit myself to portions of a data.frame. I get the