similar to: Subsetting Lists

I have a very long list that I'd like to subset based on a logical value within each element. Example below. I'd like to get just those list elements for further study whose $sig.cor slot is TRUE. In this example, I'd only want element [[2]]. Should be simple, I know. How can I do this? Thanks, Mark > gene.pair.tf.lst [[1]] [[1]]$gene.pair [1] "Lgals1:Pxmp2"

I am looking for a way to trim leading and trailing spaces in a character string in R. For example: "       this is random text        " should become: "this is random text". I have a short function to perform this task as follows: trim <- function(str){        str <- sub("^ +", "", str)        str <- sub(" +$", "", str) }

I have a data frame that looks like this: V1 V2 V3 a b 0:1:12 d f 1:2:1 c d 1:0:9 where V3 is in the form x:y:z Can someone show me how to subset the rows where the values of x, y and z <= 10: V1 V2 V3 d f 1:2:1 c d 1:0:9 Thanks Joseph [[alternative HTML version deleted]]

Hi,   it seems a simple problem, but I can not find a clear way. I have a list: lst=list(m=c('a','b','c'),n=c('c','a'),l=c('a','bc')) > lst $m [1] "a" "b" "c" $n [1] "c" "a" $l [1] "a"  "bc" how can I get list elements that include a given subset? for example, for given

Dear R users,I have a list of equally structured lists, how can I access e.g. all 2nd compontents in those sub-lists?An example:lst <- list(rep(list(1:3),3), rep(list(4:6),3))> lst[[1]][[1]][[1]][1] 1 2 3[[1]][[2]][1] 1 2 3[[1]][[3]][1] 1 2 3[[2]][[2]][[1]][1] 4 5 6[[2]][[2]][1] 4 5 6[[2]][[3]][1] 4 5 6What I want to get are all second sub-lists, in this case:[[1]][[2]][1] 1 2

Hi, I would love an easy way to extract elements from a list. For example, if I want the first element from each of 10 arrays stored in a list, Lst[[1:10]][1,1] seems like a logical approach, but gives this error: "Error: recursive indexing failed at level 3" The following workaround is functional but can get annoying/confusing. first.element=vector() for (i in 1:10){

Hello All, I have a list of dataframes, and I need to subset it by keeping only those dataframes in the list that meet a certain criterion. Specifically, I need to generate a second list which only includes those dataframes whose number of rows is > 1. Could someone suggest how to do this? I have come close to what I need with loops and such, but there must be a less clumsy way... Many

I'd like to pass a list object created by one function as an argument of another function. once inside the second function, I'd like to break the list up to it's individual elements, each then identifiable by the 'names' of the list. The list looks something like lst<-list(a=1, b=2, df=5, g=7) then inside the function I've been writing a sequence of statements that

I am performing many permutations on a data-set with each permutation producing a variable number of results. I thought that the best way to keep track of all this in one object would be with a list ('res.lst'). To address these variable results for each permutation I attempted to construct this list using 'assign'. There is even more nesting than indicated below, but this is a

Dear all, A few months ago, I asked for your help on the following problem: I have a list with three (named) numeric vectors: > lst = list(a=c(A=1,B=8) , b=c(A=2,B=3,C=0), c=c(B=2,D=0) ) > lst $a A B 1 8 $b A B C 2 3 0 $c B D 2 0 Now, I'd love to use this list to create the following data frame: > dtf = data.frame(a=c(A=1,B=8,C=NA,D=NA), +

Hi; It seems to me that has probably been asked in the past. But I cannot find the track. I usually need to extract elements from a list and contruct vector from them; e.g., to create a table. Perhaps there is a way to directly extract them without looping? Simple example: > S.lst $sublist.1 $sublist.1$age [1] 24.58719 $sublist.1$weight [1] 60.82861 $sublist.2 $sublist.2$age [1] 32.39551

Hi, S4 method dispatch can be very slow. Would it be reasonable to cache the most recent dispatch, anticipating the next invocation will be on the same type? This would be very helpful in loops. fun0 <- function(x) sapply(x, paste, collapse="+") fun1 <- function(x) { paste <- selectMethod(paste, class(x[[1]])) sapply(x, paste,

Hello,   I could not find a clear solution for the follow question. please allow me to ask. thanks   mynames=cbind(c('a','b'),c(11,22)) lst=list(a=c(1,2), b=5) now I try to combine mynames and lst: a  1  11   a  2  11 b  5  22   thanks jian   [[alternative HTML version deleted]]

Hi R-helpers, I have a list containing 10 elements, each of which is a dataframe. I wish to add a new column to each list element (dataframe) containing the product of the last two columns of each dataframe. I'd appreciate any pointers, thanks! Mark Na [[alternative HTML version deleted]]

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

Hi, I have a long list of lists from which I want to efficiently extract and rbind elements. So I'm using the approach below: f <- function(i){ out <- replicate(5, list(matrix(rnorm(80), nc=20))) names(out) <- letters[1:5] out } set.seed(1) lst <- lapply(1:1.5e6, f) (t0 <- system.time(tmp <- do.call(rbind, lapply(lst, '[[', 'b')))) Is there

Hello, my data is contained in nested lists (which seems not necessarily to be the best approach). What I need is a fast way to get subsets from the data. An example: test <- list(list(a = 1, b = 2, c = 3), list(a = 4, b = 5, c = 6), list(a = 7, b = 8, c = 9)) Now I would like to have all values in the named variables "a", that is the vector c(1, 4, 7). The best I could come up

Dear R users, I have two simple questions here, and hope someone can help me on this. Thanks in advance. 1. I have a list object lst=list(a1=matrix(rnorm(4),2,2), a2=matrix(rnorm(4),2,2),a3=matrix(rnorm(4),2,2)). Here I only use three elements for illustration, and in fact the length of lst, n, is unknown in advance. I want to define an object for each element of this lst, and the objects have

Hello, I have a big number lets say of around hundred digits. I want to subset that big number into consecutive number of 5 digits and find the product of those 5 digits. For example my first 5 digit number would be 73167. I need to check the product of the individual numbers in 73167 and so on. The sample number is as follows:

Hello, I have two very basic questions (console attached): 1) What am I getting an error message for # 5 and # 7 ? 2) How to fix the code? I would appreciate receiving your help. Thanks, Pradip Muhuri ###### Reproducible Example ##### N <- 100 set.seed(13) df<-data.frame(matrix(sample(c(1:10),N, replace=TRUE),ncol=5)) keep_var <- c("X1", "X2") drop_var