similar to: AW: ungrouping grouped data

I'm sure this is probably simple, but I can't find an answer... I have a data frame (Galton's data on heights of parents and children), in grouped form, parent child frequency 73.5 72.2 1 73.5 73.2 3 72.5 68.2 1 72.5 69.2 2 72.5 70.2 1 72.5 71.2 2 72.5 72.2 7 72.5 73.2 2 72.5 74.2 4 71.5 65.2 1 71.5 66.2 3 71.5 67.2 4 71.5 68.2 3 71.5 69.2 5 71.5 70.2 10 ... and need the ungrouped

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 <-

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 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

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 >

System: Linux kernel 2.6.15 Ubuntu dapper R version 2.5.1 ESS 5.2.11 on Emacs 21.4.1 ------------------------- Colleagues Having read the posts on producing perfect graphs in R, or using inkscape to edit R graphics output, I have a related question. Lately I am publishing in a journal that is very picky about their graphics formats. It is more efficient for me to get the final picky details

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):

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

On Oct 19, 2015, at 10:53 AM, Joerg Sonnenberger <joerg at britannica.bec.de> wrote: >>>> 2) We could require new contributors to sign the Apache CLA. >>> >>> To me, this is the most acceptable option of the listed terms. >> >> Please explain: why? > > First part for me is that switching the code to a different license > doesn't

Hello, (apologies, I'm not entirely sure whether this question is about R or my limitations with PowerPoint). I've submitted a paper (which has been accepted) but the journal now require me to submit graphs that are "editable in PowerPoint". I would be grateful for suggestions as to how I should do this. The best route seems to be to copy-and-paste the figures from the

Dear R users, I have more of a statistical/econometric question than straight R one. I have a data set with the discrete hazard rate of small firms survival on 400 counties over a period of 9 years. This data was generated using census information from the VAT registration number of each one of these business. I would like to analyze the effect of regional factors (deprivation index, real

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.

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)

I really really do not like armchair lawyer discussions and this is just flamebait if I've ever seen it... --------------- #1 Is the submarine patent risk really that bad? (What's driving this) #2 Pragmatically have "you" even considered how to execute on this relicense plan? a. What if one of the copyright holders doesn't agree? b. What audit procedure do you plan to use c.

Dear All: I have been struggling to run the conditional logistic regression on a dataset. I am using clogit function in survival package. Here is how the data is generated. I tried to shorted the data by using the second count variable but still the clogit did not run. Why I am not able to run clogit on my dataset. I appreciate any input. Regards, Ashraf age <- c(rep(0,8),rep(1,8)) scc <-

Hi r-users,   I have a data below but I would like to rearrange my data so that it will be in the following format: year, month, day, rain.  I also would like the data to be arranged so that it will be continues for example year 1939 it will go from january 1 to december 31 and continue with year 1940 from january 1st to 31st December and so on.  What I have now is all january for all the years

Hi R-users, I'm not sure what's wrong and how do I check the error? I have 3 sets of data > aug_dt1  [1]  22.8  49.6  77.9  67.6  91.2  48.9 124.6  54.6  85.8  62.8  63.3 174.7  32.3  22.7  99.9 123.2   4.8 149.0  66.0 [20]  73.9  37.4  22.4  69.5  87.3  66.9  87.2  81.5 109.1  47.4  22.8  92.4  60.9  77.5  91.3  91.9  78.2  39.4 107.5 [39]  57.9  65.5  76.0  47.2 145.5  95.9 106.0

Hi R-users,   I would like to transform my data using gamma, my data are ahll, bhall and dp1 as shown below:   > ahall      ah1  ah2  ah3  ah4  ah5  ah6  ah7  ah8  ah9 ah10 ah11 ah12 [1,] 0.9 1.01 1.24 1.85 1.85 2.45 3.67 3.02 3.06 2.33 1.86 0.96   > bhall        bh1   bh2   bh3   bh4  bh5   bh6   bh7   bh8   bh9  bh10  bh11  bh12 [1,] 48.39 44.26 37.34 29.93 33.5 26.54 20.26 25.73 20.14

< Does anyone know why they're called random deviates, as opposed to random numbers?> Others will probably give you some technical reason about random numbers can be considered as random deviates from a mean (I think at least the 1875 Galton paper at http://www.mugu.com/galton/ uses similar terminology (I'm not claiming this is the earliest use - just the easiest to access at the