similar to: sort of cumulative counting in a vector

Dear R users, I am trying to sum number that exist in another vector up to i, then increment i and repeat. Sorry. It's hard to explain but basically I am trying to do the following: test <- c(1,2,3,4); test2 <- c(3,5,6,7,2,8,8,4,4); test3 <- c(10,20,30,40); tmp <- 0; for (i in 1:length(test)){ tmp[i] <- sum(test3[which(test[1:i] %in% test2)]); } so when i = 1, tmp[i] = 0

I have a data.frame as follows: a 3 a 2 a 1 b 3 b 2 c 2 c 3 c 1 c 1 Each factor (a, b, c) should be monotonically decreasing, notice that factor 'c' is not. I could use some help to figure out how to form a logical structure (mostly just syntax), that will check each 'next value' for each factor to see if it is less than the previous value. If it is less than the

I have a data set like the following: subject visit x1 1 1 0.5 1 2 1.2 1 3 0.7 2 1 0.4 2 2 0.6 2 3 1.0 ..... where x1 is the interval between the two visits. Now I want to calculate the cumulative intervals since the beinging, for example subject visit x1 cum 1 1 0.5 0.5 1 2 1.2 0.5+1.2 1 3 0.7 0.5+1.2+0.7 2 1 0.4 0.4 2 2 0.6 0.4+0.6 2 3 1.0 0.4+0.6+1.0 ..... is there an easy to generate the

Hello world, I am actually transferring a course in data management for students in biology, geography and agriculture from statistica to R - it works surprisingly well. If anyone is interested in my scratch/notepad (in German language), please see www.hydrology.uni-kiel.de/~schorsch/statistik/statistik_datenauswertung.pdf (pages 40-52) The dataset is:

Hi, all ecdf function (Empirical Cumulative Distribution Function) in "stats" package counts from smaller values to larger values. However, I want to draw it by counting from larger value to smaller values and I couldn't find options for this purpose. How can I draw ecdf or ecdf like graph by counting from larger values to smaller values. Thank you in advance. Hyunchul Kim

Dear R-helpers, I have a huge data-set so need to avoid for loops as much as possible. Can someone think how I can compute the result in the following example (that uses a for-loop) using some version of apply instead (or any other similarly super-efficient function)? example: #Suppose a matrix: m1=cbind(1:5,1:5,1:5) #The aim is to create a new matrix with every column containing the

Hello, there are problems with quota dict when multiple dovecot deliver processes are launched in parallel. It can be reproduced by sending a mail with multiple different recipients - the mail is delivered OK to all recipients, but the quota are not updated correctly in sql. I looked at the code and it seems that the problem is somewhere in dict cache. If I configure in Postfix max number of

Dear R´ers.. In this mock dataset how can I generate a logical variable based on whether just tes or tes3 are NA in each row?? test<-sample(c("A",NA,"B"),100,replace=T) test2<-sample(c("A",NA,"B"),100,replace=T) test3<-sample(c("A",NA,"B"),100,replace=T) tes<-cbind(test,test2,test3)

Oops, I think both of us forget to cite the r-devel channel. Best, Jiefei On Tue, Mar 10, 2020 at 5:13 AM Wang Jiefei <szwjf08 at gmail.com> wrote: > Thanks for your quick response, Tomas. > > Yes, this is a path issue, I think the problem is related to R, not the > Rtools make. I built an example package for reproducing the problem: > https://github.com/Jiefei-Wang/example

hi y'all, I am wondering if there is any special command, function, package, etc to help me doing a cumulative distribution function, with y-scale - probability scale. I tried the help in R and i got the following answers: cumsum(base) Cumulative Sums, Products, and Extremes ecdf(stepfun) Empirical Cumulative Distribution Function cpgram(ts) Plot

Dear all; I'm wondering if there is any 'efficient' approach for selecting a sample of 'every nth rows' from a dataframe. For example, let's use the dataframe GAGurine in MASS library: > length(GAGurine[,1]) [1] 314 # select an 75% of the dataset, i.e. = 236 rows, every 2 rows starting from row 1 > test<-GAGurine[seq(1,314,2),] > length(test[,1]) [1] 157 #

Hi there, I?ve been trying to get my head around a problem I have with Samba. I?ve set up Samba 3.6.13 on a Raspberry Pi with Arch Linux ARM on it and let it serve a couple of folders from an attached external ext4 drive mounted to /srv/cifs (of course with the "acl" option enabled). I?ve been trying to create a share that is read-writable for all members of a particular UNIX user

Hello there, I am using R to plot some cumulative histogram for my data. Please help in this case. Thank you Lisa Wang Princess Margaret Hospital Toronto phone 416 946 4501 ext.4883

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Hi R users, I really need help with subsetting data frames: I have a large database of medical records and I want to be able to match patterns from a list of search terms . I've used this simplified data frame in a previous example: db <- structure(list(ind = c("ind1", "ind2", "ind3", "ind4"), test1 = c(1, 2, 1.3, 3), test2 = c(56L, 27L, 58L,

I have a question about using cumsum on subsets of a data frame. Suppose I have a frame that looks something like this > tmp f x y 1 left 1 0 2 left 2 0 3 left 3 9 4 left 4 10 5 left 5 23 6 left 6 45 7 left 7 13 8 left 8 2 9 left 9 6 10 right 1 10 11 right 2 26 12 right 3 9 13 right 4 50 14 right 5 78 15 right 6 20 16 right 7 7 17 right 8 20 18 right 9 19

Dear List, I have the following data: >> test <- data.frame(date = as.Date(c('2007-01-01','2008-03-24','2003-03-02','2008-05-03','2002-05-23','2001-06-30','2005-12-04')), nr = c(2000,2000,2000,2001,2002,2003,2003)) test date nr 1 2007-01-01 2000 2 2008-03-24 2000 3 2003-03-02 2000 4 2008-05-03 2001 5 2002-05-23 2002 6

Hi All I was reading through this: http://kashyapc.com/2011/12/02/little-more-disk-io-perf-improvement-with-fallocateing-a-qcow2-disk/ I was basically searching for pointers on improving disk I/O. I wanted to know the purpose of preallocation=full & preallocation=metadata , What is the difference between them ? and which one would yield a better disk I/O speed ? Appreciate your

Hi all, I have two functions called test1() and test2(). Now how do I select one of them in test3()?? Say test3<-function(func="test1"){ if (func=="test1"){ now.func<-test1() } else now.func<-test2() } I know this function I wrote does not right. Do anyone can tell me how to do that for real? Thanks a million S.H. --

Hello - I just finished doing a search of the archives and couldn't seem to get this answered. Example, I have a root directory containing the following directories: /Test1 /Test2 /Test3 I want to rsync only /Test2 and all subdirs under. So my include-from file looks like: + Test2/* - /* This doesn't work as nothing is synced, and if I do a -vv it tells me that nothing is being