similar to: ungrouping grouped data

Hi, You can so something like this XX <- data.frame(x=1:10,y=rbinom(10,3,0.5)) sapply(XX,rep,XX[,2]) HTH (if this do what you really want) Thomas -----Urspr?ngliche Nachricht----- Von: Michael Friendly [mailto:friendly at yorku.ca] Gesendet: Do 25.09.2003 19:14 An: r-help Cc: Betreff: [R] ungrouping grouped data I'm sure this is probably simple, but I can't find

I'm trying to do a sunflowerplot of Galton's data, with both regression lines and data ellipses, and I must be doing something wrong, because the lines do not intersect at \bar{x}, \bar{y}. The problem is likely in the line for x.y, but I don't know how to specify that correctly. The data is read in grouped form( galton), and then ungrouped (galton2): galton <-

Hello, I have the following data.frame structure(list(Study = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,

Dear R users, A have a dataframe (matrix) with two collumns (plot, and diameter (d)). I want all diameters values for different combination of plots. For example I want all d values for all posible combination, 100C2 (all d values for plot 1 with all d values in the plot 2.......with all d values from plot 1 with all d values from plot 100, ...... with all d values from plot 99 with all d values

See ?rpart.control. I get: > golf.rp = rpart(Outlook ~ ., golf, control=rpart.control(minsplit=1)) > golf.rp n= 14 node), split, n, loss, yval, (yprob) * denotes terminal node 1) root 14 9 rain (0.2857143 0.3571429 0.3571429) 2) Temperature< 71.5 6 2 rain (0.1666667 0.6666667 0.1666667) 4) Temperature< 64.5 1 0 overcast (1.0000000 0.0000000 0.0000000) * 5)

hello, I'd like know how to sort a data frame in R for example how I should do to sort by Catholic with swiss data frame like below thanks Fertility Agriculture Examination Education Catholic Infant.Mortality Courtelary 80.2 17.0 15 12 9.96 22.2 Delemont 83.1 45.1 6 9 84.84 22.2

Faraway's book titled "Practical Regression and Anova using R", with full text available online at: http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf refers to a data set, stat500, which compares midterm and final grades. It can be used to illustrate similar concepts. A google search for faraway.zip will locate the actual data. --- Date: Sun, 15 Feb 2004 10:37:08 -0800

Dear Community, I have been using two types of survival programs to analyse a data set. The first one is an R function called aftreg. The second one an STATA function called streg. Both of them include the same analyisis with a weibull distribution. Yet, results are very different. Shouldn't the results be the same? Kind regards, J -- View this message in context:

> On Oct 19, 2015, at 9:27 AM, Joerg Sonnenberger via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > On Mon, Oct 19, 2015 at 08:25:16AM -0700, Chris Lattner via llvm-dev wrote: >> 1) We could introduce a novel legal solution. > > Please, no. > >> 2) We could require new contributors to sign the Apache CLA. > > To me, this is the most acceptable

Current sources (git-b1b6caf) were compiled with GCC 4.8.2 and GCC 4.9.0 with various -msseN options (the default is -msse2). Then I took two WAV files (one is 16-bit and the other is 24-bit) and compressed them using best compression mode. The results are in the table below. (please remember that the resulting value is an encoding time, not encoding speed) CPU: Intel Core i7 950 (up to SSE4.2)

Could anyone tell me where can I find some examples of the applications to economics of a Markov chain? Many thanks in advance. Luis Rivera. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not

Hello, dear R-community. This is a question about TukeyHSD between factor combinations of a Three-Way ANOVA, which is - since it is a multi measure ANOVA - not a simple ANOVA but a Generalised Linear Mixed Model (GLMM), calculated with "lmer". > growth <- groupedData(length~meas|box_id,outer=~spec*comp*water,data=all.spec) > model <-

Dear Friends, Yesterday I posed a question to the list concerning the possibility of doing animation examples in R. Here is an example S-Plus (4.5 for Windows ) that I wrote to illustrate my problem. If I try this in R (comment out the graphsheet and guilocator calls) I don't see my results until after the function has iterated through the 100 trials. I would like to plot each iteration.

Dear all, I have a large vector (lets call it myVector) and I want to plot its value with the logic below yaxis<-myVector[1] yaxis<-c(xaxis,mean(myvector[2:3]) yaxis<-c(xaxis,mean(myvector[4:8]) yaxis<c(xaxis,mean(myvector[9:16]) yaxis<c(xaxis,mean(myvector[17:32]) this has to stop when the new ..... yaxis<c(xaxis,mean(myvector[1024:2048]) will not find the correspondent number

Hello, I'm cc'ing R-Help. Sorry but your question was asked 3.5 years ago, I really don't remember it. Can you please post a question to R-Help, with a reproducible example that describes your problem? Rui Barradas ? Citando catalin roibu <catalinroibu at gmail.com>: > Dear Rui, > ? > I helped me some time ago with a code..... regarding aggregated data >

Dear useRs, i want to split a matrix having 1116rows and 12 columns. i want to split that matrix into 36 small matrices each having 12 columns and 31 rows. The big matrix should be splitted row wise. which means that the first small matrix should copy values which are in first 31 rows and 12 columns of the big matrix. similarly 2nd small matrix should contain values from 32nd to 63rd row of the

Hi, I have my data the following way: y A B C 0 1 1 2 0 1 2 1 1 1 1 2 0 1 1 2 1 1 1 2 1 1 2 1 0 1 2 2 . . . And so on. How can I make my data look like the following: y A B C 2 1 1 2 1 1 2 1 0 1 2 2 . . . In other words how can I change my ungrouped cases into grouped cases? Thanks! Chris [[alternative

Dear R users, I want to aggregate all *d *data from all combination of n *plots* taken by k. Thank very much! My data is like that: plot d 1 14 1 13 1 12 1 14 1 18 1 20 1 21 1 43 1 108 1 43 2 41 2 61 2 83 2 61 2 84 2 45 2 21 2 12 2 11 ... 100 10 100 12 -- --- Catalin-Constantin ROIBU Forestry engineer, PhD Forestry Faculty of Suceava

I'm hoping the community knowledge can help me out here. I have found great value in R, especially using it to generate charts, but I am still scaling the learning curve in a number of ways. I am looking plot one grouped line and one ungrouped line in a lattice plot. I can plot one grouped line like this (the line's color in each panel becomes dependent on the newpool value):

Thanks for helping me out with the thing of quotation marks. I finally could save time running programs at the university and home. One additional question for all of you. I'm starting to be familiar with multinomial regression models. Actually I'm doing some exercise with the pneumo data that appears in Faraway library. The database has 24 observations and I want to study the probability