similar to: paired t-test. Need to rearrange data?

------- Forwarded message follows ------- From: Petr Pikal <petr.pikal at precheza.cz> To: Henrik Parn <henrik.parn at bio.ntnu.no> Subject: Re: [R] paired t-test. Need to rearrange data? Date sent: Tue, 08 Aug 2006 16:13:47 +0200 Hi Uff, it takes me a bit headache but this shall do it ?unstack ?table ?t new.list<-unstack(test.data,y~id)

Hi, consider the following two dataframes: x1=c("232","3454","3455","342","13") x2=c("1","1","1","0","0") data1=data.frame(x1,x2) y1=c("232","232","3454","3454","3455","342","13","13","13","13")

I have a matrix, called data. I used the code below to rearrange the data such that the first column remains the same, but the y value falls under either columns 2, 3 or 4, depending on the value of z. If z=1 for example, then the value of y will fall under column 2, if z=2, the value of y falls under column 3, and so on. data x y z [1,] 50 13 1 [2,] 14 8 2 [3,] 3 7 3 [4,] 4 16 1 [5,] 6

Hi, I have a data.frame that looks like this: Subject <- c(rep(1,4), rep(2,4), rep(3,4)) y <- rnorm(12, 3, 2) gender <- c(rep("w",4), rep("m",4), rep("w",4)) comment <- c(rep("comment A",4), rep("comment B",4), rep("comment C",4)) data <- data.frame(Subject,y,gender,comment) data Subject y gender

Hi, I have 2 dataset, plot(data1) plot(data2), but it comes as two graphs, can I draw both on a single panel so I can compare them? Thanks Pat

Hi all I am trying to determine the distances between two datasets of x and y points. The number of points in dataset One is very small i.e. perhaps 5-10. The number of points in dataset Two is likely to be very large i.e. 20,000-30,000. My initial approach was to append the first dataset to the second and then carry out the calculation: dists <- as.matrix(dist(gis data from 2 * datasets))

I wish to rearrange the matrix, df, such that all there are not repeated x values. Particularly, for each value of x that is reated, the corresponded y value should fall under the appropriate column. For example, the x value 3 appears 4 times under the different columns of y, i.e. y1,y2,y3,y4. The output should be such that for the lone value of 3 selected for x, the corresponding row entries

Full_Name: Bill Simpson Version: 65.1 OS: linux Submission from: (NULL) (193.62.250.209) Try this code as separate lines entered interactively, then try doit() doit<-function() { x<-seq(1,10) y1<-x+rnorm(10,1,1.5) y2<-x+rnorm(10,1,1) t.test(x,y1,paired=TRUE) t.test(x,y2,paired=TRUE) } doit() apparently executes only the last of a series of t.test()s. Maybe this is no bug,

Dear All, I need some help arranging data that was imported. The imported data frame looks something like this (the actual file is huge, so this is example data) DF: IDKey X1 Y1 X2 Y2 X3 Y3 X4 Y4 Name1 21 15 25 10 Name2 15 18 35 24 27 45 Name3 17 21 30 22 15 40 32 55 I would like to create a new data frame with the following NewDF: IDKey X Y Name1 21 15 Name1

Dear all, I have some csv-files (originating from Excel-files) containing empty cells. In my example file I have four variables of different classes, each with some empty cells in the original csv-file: > test <- read.csv2("test.csv", dec=".") > test id id2 x y 1 a 1 NA 2 b e NA 2.2 3 f 3 3.3 4 c g 4 4.4 > class(test$id) [1]

Thanks Bill and Michael for taking the time to share your knowledge! As a further background to my question, here are two examples that I forgot to include in my original post (reminded by Michael's answer). I swapped the i and j arguments in `[.data.frame` and `[<-.data.frame`. With warnings, but else without (?) problem. Using Bill's data: `[.data.frame`(x = d, i = 1, j = 2) # [1]

1) When adding additional data sets to a plot using "plot" followed by "lines", is there a way to automate the scaling of the axes to allow for all data sets to fit within the plot area? 2) I attempted to solve this by setting xlim=c(min(c(data1,data2,data3)),max(c(data1,data2,data3))) however, there are some NAs and Infs in these data sets, and min(data1) and max(data1) both

Dear R-users I have 5 dependent variables (y1 to y5) and one independent variable (x) and 3 conditioning variables (m, n, and 0). Each of the conditioning variables has 2 levels. I created 2*4 panel plots. xyplot(y1+y2+y3+y4+y5 ~ x | m*n*o,layout = c(4,2)) I would like to reorder the 8 panels. I tried to use index.cond (e.g., index.cond = list(c(1,3,2,4,5,7,6,8)) but it didn't work out.

Dear R-developers, A student asked me today of how to specify the limits of the x-axis. I knew that he should use xlim, but I tried to encourage him to have a try himself with the various help functions. I do not judge if he used the correct search strategy or right key words, but anyway here is what he tried: he looked at ?plot. There xlim is not mentioned. He checked ?par. There you find

I have a dataset of the form below, consisting of one unique ID per row, followed by a series of visit dates. At each visit there are values for 3 dichotomous variables. Of the 8 different possible combinations of the three variables, 4 are "abnormal" and the remaining 4 are "normal". Everyone starts out abnormal, and then either continues to be abnormal at subsequent visits,

Dear R-community, I created 5 different xyplots and graphed all of them with the print command on one page (e.g. print(graph1, split=c(1,1,1,5), more = T) ... print(graph5, split=c(1,5,1,5), more =T) Using the above commands separates each graph by a white space. However, since the graphs do share the same x-axis, I was wondering if there is a way to concatenate graph1 through 5 so

Hi - I have two response variables 'y1' and 'y2' and a factor 'x'. I would like to create paired box-whiskers plots for y1~x and y2~x and labeled for the same x. the b-w plots would be side-by-side in the same panel - almost like a barchart with two parallel columns for the same x. the code 'bwplot(y1+y2~x, outer=T)' gives me two side-by-side panels. this is ok,

On Sat, 15 Jul 2017, Michael Reed via R-help wrote: > Dear All, > > I need some help arranging data that was imported. It would be helpful if you were to use dput to give us the sample data since you say you have already imported it. > The imported data frame looks something like this (the actual file is > huge, so this is example data) > > DF: > IDKey X1 Y1 X2 Y2

Dear R developers, I find the format of descriptions of the arguments in the read.table help text slightly inconsistent. For example, the logical arguments comes in seven different formats, more or less explicit about the consequences of a TRUE (or FALSE): 1. check.names logical. If TRUE then the names... 2. blank.lines.skip logical: if TRUE blank lines... 3. flush logical: if TRUE,

Dear R-list, Is there a way to convert the typical long R data-format to a 1-line per subject format? I have data formatted as: Group subj condition variable 1 1 1 746.36625 2 2 1 1076.152857 1 3 1 1076.152857 2 4 1 657.4263636 1 5 1 854.1266667 2 6 1 1191.676154 1 7 1 1028.175385 1 1 2 46.36625 2 2 2 76.152857 1 3 2 76.152857 2 4 2 57.4263636 1 5 2 54.1266667 2 6 2 191.676154 1 7 2 028.175385