similar to: How to convert decimals to fractions

Dear all, Based on my question a few months ago https://stat.ethz.ch/pipermail/r-help/2006-January/086952.html and solved with https://stat.ethz.ch/pipermail/r-help/2006-January/086955.html https://stat.ethz.ch/pipermail/r-help/2006-January/086956.html and from https://stat.ethz.ch/pipermail/r-help/2006-January/086958.html frac.fun <- function(x, den){ dec <- seq(0, den) / den nams

Hi, Let say I have below vector of data-points : Dat = c(-0.444444444444444, -0.25, -0.237449799196787, -0.227467046669042, -0.227454464682363, -0.22, -0.214876033057851, -0.211781206171108, -0.199891067538126, -0.192920353982301, -0.192307692307692, -0.186046511627907, -0.184418145956608, -0.181818181818182, -0.181818181818182, -0.181266261925412, -0.181003118503119, -0.179064587973274,

But for my reporting purpose, I need to generate a bell curve like plot based on empirical PDF, that also contains original points. Any idea would be helpful. Thanks, On Mon, Mar 12, 2018 at 3:49 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > You need to re-read ?density and perhaps think again -- or do some study -- > about how a (kernel) density estimate works. The points at

Dear all, I apologize if my question is quite simple. I have a dataset (20 columns & 1000 rows) which some of columns have the same value and the others have different values. Here are some piece of my dataset: obj <- cbind(c(1,1,1,4,0,0,1,4,-1), c(0,1,1,4,1,0,1,4,-1), c(1,1,1,4,2,0,1,4,-1), c(1,1,1,4,3,0,1,4,-1), c(1,1,1,4,6,0,1,5,-1),

Hi, Excuse me for this simple question. How to convert as.data.frame to as.character? ?data.frame > L3 <- LETTERS[1:3] > L10 <- LETTERS[1:10] > d <- data.frame(cbind(x=c("XYZ"), y=L10), fac=sample(L3, 10, repl=TRUE)) > d x y fac 1 XYZ A A 2 XYZ B A 3 XYZ C A 4 XYZ D A 5 XYZ E B 6 XYZ F C 7 XYZ G A 8 XYZ H C 9 XYZ I B 10 XYZ

Dear R-helpers, I have dataset (data.frame) like below, x1 x2 x3 x4 x5 x6 x7 x8 x9 ... x1200 0 0 0 1 1 0 0 1 1 1 0 0 1 1 0 0 1 1 0 1 0 1 1 0 0 1 1 1 1 0 1 1 0 0 1 1 ... How can I change automatically 0=no and 1=yes. Thank you very much in advance. Kindly regards, Muhammad

Dear R-helper, Is there possible to make this array: > a <- array(1:12, c(4, 3)) > a [,1] [,2] [,3] [1,] 1 5 9 [2,] 2 6 10 [3,] 3 7 11 [4,] 4 8 12 > like: c(1,5,9) c(2,6,10) c(3,7,11) c(4,8,12) Thank you very much in advance. Regards, Muhammad Subianto

Dear all, I have a dataset train <- cbind(c(0,2,2,1,0), c(8,9,4,0,2), 6:10, c(-1, 1, 1, -1, 1)) test <- cbind(1:5, c(0,1,5,1,3), c(1,1,2,0,3) ,c(1, 1, -1, 1, 1)) I want to find which rows of train and test it different in its last column (column 4). The solution must be something like train [,1] [,2] [,3] [,4] [1,] 0 8 6 -1 [3,] 2 4 8 1 [4,] 1 0 9 -1

Thank you very much for your useful suggestions. These are exactly what I was looking for. foo <- list(foo1, foo2, foo3) lapply(foo, function(x) matrix(unlist(x), nrow = length(x), byrow = TRUE)) or lapply(foo, function(x) do.call('rbind', x)) Best, Muhammad Subianto On 4/11/06, Muhammad Subianto <msubianto at gmail.com> wrote: > Dear all, > I have a result my experiment

Dear all, #Last week, I asked about merge x and y as list. #Now I have a dataset with list of list like: x <- list(list(matrix(1:20, 5, 4),matrix(1:20, 5, 4)), list(matrix(1:20, 5, 4),matrix(1:20, 5, 4))) y <- list(list(c(1, -1, -1, 1, 1),c(1, 1, -1, -1, -1)), list(c(1, 1, 1, 1, 1),c(1, 1, -1, 1, -1))) x y #I need merge x and y, I have tried with list.uni <-

Dear R-help, I have fitted a glm logistic function to dichotomous forced choices responses varying according to time interval between two stimulus. x values are time separation in miliseconds, and the y values are proportion responses for one of the stimulus. Now I am trying to extrapolate x values for the y value (proportion) at .25, .5, and .75. I have tried several predict parameters, and they

Dear all, I have a dataset. I want to make barplot from this data. Zero1 <- " V1 V2 V3 V4 V5 V6 V7 V8 V9 1 1 0 0 0 1 0 0 0 Positive 2 0 0 1 0 1 0 1 1 Negative 3 0 0 1 0 0 0 1 1 Positive 4 0 1 0 1 1 1 0 1 Negative 5 0 0 1 0 1 1 0 0 Positive 6 0 1 0 0 1 1 1 1 Negative 7 1 0 1 1 1 1 1 1 Negative 8 0 0 0 0 1 0 0 1

Dear useR, I have a dataset like this below, > prevRND.dat <- read.table("C:\\workdir\\prevRND.txt", + header=FALSE, # No header. + col.names = c("X","Y","Z"), + sep = ",") > prevRND.dat X Y Z 1 A A 0.950933 2 A B 0.143600 3 A C 0.956133 4 B A

I have a question, which very easy to solve, but I can't find a solution. I want to convert a data frame to matrix. Here my toy example: > L3 <- c(1:3) > L10 <- c(1:6) > d <- data.frame(cbind(x=c(10,20), y=L10), fac=sample(L3, + 6, repl=TRUE)) > d x y fac 1 10 1 1 2 20 2 1 3 10 3 1 4 20 4 3 5 10 5 2 6 20 6 2 > is.data.frame(d) [1] TRUE > sapply(d,

Dear R-helpers, First I apologize if my question is quite simple I have a large datasets which more 100 variables. For a research I need to change all name of variables with add one or more letters on each variables. For example, > data(Pima.tr) > Pima.tr[1:5,] npreg glu bp skin bmi ped age type 1 5 86 68 28 30.2 0.364 24 No 2 7 195 70 33 25.1 0.163 55 Yes 3 5

You need to re-read ?density and perhaps think again -- or do some study -- about how a (kernel) density estimate works. The points at which the estimate is calculated are *not* the values given, nor should they be! Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his

Dear all R-users, (My apologies if this subject is wrong) I have dataset: mydat <- as.data.frame( matrix(c(14,0,1,0,1,1, 25,1,1,0,1,1, 5,0,0,1,1,0, 31,1,1,1,1,1, 10,0,0,0,0,1), nrow=5,ncol=6,byrow=TRUE)) dimnames(mydat)[[2]]

Dear R-helper, I am new learning R. Now, I have a data set like: 24,2,3,3,1,1,2,3,0,1 45,1,3,10,1,1,3,4,0,1 43,2,3,7,1,1,3,4,0,1 42,3,2,9,1,1,3,3,0,1 36,3,3,8,1,1,3,2,0,1 19,4,4,0,1,1,3,3,0,1 38,2,3,6,1,1,3,2,0,1 21,3,3,1,1,0,3,2,0,1 27,2,3,3,1,1,3,4,0,1 45,1,1,8,1,1,2,2,1,1 ... with 3730 rows I want to remove comma (,) in data set. The result like: 24 2 3 3 1 1 2 3 0 1 45 1 3 10 1 1 3 4 0 1

Dear R-list, I have a dataset, say (the real dataset is 20 columns,110200 rows). > my.reducedID V1 V2 V3 V4 V5 V6 V7 V8 V9 [1,] 1 0 0 1 14 3 1 0 2 [2,] 2 0 0 1 14 3 1 0 2 [3,] 0 1 0 1 14 2 1 0 2 [4,] 0 0 1 1 14 3 1 0 2 [5,] 0 1 1 0 14 2 1 0 2 [6,] 0 0 0 1 14 3 1 0 2 [7,] 0 0 0 1 0 3 1 0 2 [8,] 0

Dear R users, My situation: (1) I have limited workspace for my work harddisk (about 10 GiB). (2) I have a lot of data files in R workspace (*.RData) which most of them > 200 MiB. For some reason I zip some of them, for instance "filename.RData (250 MiB)" to "filename.zip (3MiB)". In this work I have a lot of more space of my harddisk. Normally, If I want to use