similar to: Question about subsetting data

This is just a slight modification of a question I asked earlier. Thanks to all the responders. I have a data set(Bill) of with 1 variable (var1), with 100 obs that are in ascending order. I want to sample every 10 observations and save them in 10 different groups such as Group1 is obs 1-10 Group 2 is obs-11-20 .... Subset data into the 10 groups, then calculate the mean/0.8 of var1 for each

Can anyone point me to examples with R code where bwplot in lattice is used to order the boxes in ascending order? I have found the following discussion and it partly works. But, I have a conditioning variable, so my example is more like bwplot(var1 ~ var2|condition, dat) Th example in the discussion below works only when there is not a conditioning variable as far as I can tell. I can tweak the

Greetings, Does anyone know if R-Quant, http://www.smartquant.com/ an outgrowth of the statistical package "R"? Bill Vedder -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- 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 the

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

I am a novice user of R and am stumbling on how to order a dataset produced during my session. I have a 1863 row X 14 column dataset that I want to put out to a file. I want the output sorted by the first column and then by the second column both in ascending order. The first column is character and the second is numeric (I hope). I used an "as.numeric" function to assign that

Hi All, I want to take a matrix (or data frame) and winsorize each variable. So I can, for example, correlate the winsorized variables. The code below will winsorize a single vector, but when applied to several vectors, each ends up sorted independently in ascending order so that a given observation is no longer on the same row for each vector. So I need to winsorize the variable but

Dear R users, I'm new but already fascinated R user so please forgive for my ignorance. I have the problem, I read most of help pages but couldn't find the solution. The problem follows.... I have large data set 10,000 rows and more than 100 columns... Say something like var1,var2,var2,var4.......var120 ------------------------------------------- 12,12,345,657,67,8.....

Hi all, I have a question regarding subsetting of large data frames. I have two data frames ?catches? and ?tows? and they both have the same 30 variables (columns). I would like to select rows in the data frame ?tows? where all 5 specific variables are NOT matched in ?catches. That is to say, the combination of these 5 variables is unique. One or more of the variables could be the same but the

Hello I have a data frame d with columns "var1", "var2", "var3" Then I have two vectors: columns <- c("var2", "var3") values <- c(0, 1) Is there a compact way to subset the data frame using these two vectors and get the result equivalent to: select (d, var2==0 & var3==1) ? Thank You Blazej

Hallo, The command: x <- 3 mat <- as.matrix(expand.grid(rep(list(0:1), x))) generates a matrix with 2^x columns containing the binary representations of the decimals from 0 to (2^x-1), here from 0 to 7. But the rows are not sorted in this order. How can sort the rows the ascending order of the decimals they represent, preferably without a function which converts binaries to decimals

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

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,

I think I must be missing something obvious, but I'm having trouble getting a data transformation to work on groupings of data within a data frame (csss3) as defined by 2 factors (population, locid). The data are sorted by year within locid within population and I want to lag another variable (dbc), i.e, shift them down by 1 row replacing the first row with NA, within groups defined by

Hi there, > a<-data.frame(c(1,2,2,5,9,9),c("A","B","C","D","E","F")) > names(a)<-c("x1","x2") > max(table(a$x1)) [1] 2 > The above shows the max count for x1 is 2, which is correct. But we can't tell there are 2 groups that meet this criteria: 2,2 and 9,9. I then want to extract the

Hi all, Imagine I have a matrix and the first colum is a list that repeats the same names, I want to sum the second column on each unique name on first column. Imagine this: Pepe 2 Pepe 3 Pepe 4 Jose 2 Jose 5 Manuel 4 Manuel 2 I want to make a new matrix that calculates and recognizes that there are 3 different names ans sum second column. But a priori I don´t know the list of the different

I have a dissimilarity dataset with the form: 1 1 dissimilarity value 1 2 ... 1 3 1 4 2 2 2 3 2 4 ... I would like to do nonmetric multidimensional scaling with this data, but I am having trouble using this format. I would like to either find a function that accepts this format or find a way to easily convert this format to a matrix for use with existing functions. Thanks!

Hola a tod@s, ¿alguien me podría clarificar la diferencia entre "\." y "\\." en el siguiente caso? (He mirado ?regex, ?cat, ?Quotes y FAQ 7.37 y no lo acabo de ver) > a<-"hola.me.llamo.pepe" > a [1] "hola.me.llamo.pepe" > strsplit(a,"\.") [[1]] [1] "" "" "" "" "" ""

Dear all I am having a vector with large length and I would like to ask you if I can aggregate the values by constant sized windows. For example for the following vector, I would like to take 30 points until the end and find their mean. > myData<-seq(1:100000) > > c(mean(myData[1:30]),mean(myData[31:60])) #...and so one until the end [1] 15.5 45.5 I have searched in the R

The subject of your email is missing. Perhaps you need to read the Posting Guide (again?) about attachments. Embedding your example directly in the body of the email is generally more accessible in archives than attaching it. -- Sent from my phone. Please excuse my brevity. On April 27, 2016 1:14:17 PM GMT+01:00, G.Maubach at gmx.de wrote: >Hi All, > >I am addressing this post to all

Hi all, who is using RadRails with Eclipse to create RoR applications? jsn -- Posted via http://www.ruby-forum.com/.