similar to: Counting occurrences in a moving window

Hi, I have produced a list g and I would like to reduce the amount of information contained in each object in g. For each matrix I would like to keep the values where the column name equals g[year][[1]][[x]] and the row names equals g[year][[1]][[-x]]. So in g$`1999`$`8029`, year = 1999 and x = 8029. I have been experimenting with the subset function, but have been unsuccesful. Thanks for your

Hi, I have two lists (c and h - see below) containing matrices with similar cases but different values. I want to split these matrices into multiple matrices based on the values in h. So, I did the following: years<-c(1997:1999) for (t in 1:length(years)) { year=as.character(years[t]) h[[year]]<-sapply(colnames(h[[year]]), function(var)

Hi, I have a question concerning the selection of data. Let's say that given list h created below, I would like to select a section of the 1999 matrix. For a case (rownames and colnames) I would like to select the cells that have a value > 0. So for case 8025 8025 8026 8027 8025 1 1 1 8026 1 1 1 8027 1 1 1 And for case 8028 8028 8029 8028 1

Hi list, I would like to use the following data.frame to generate matrices over a 3 year moving window: DF = data.frame(read.table(textConnection(" A B C 80 8025 1995 80 8026 1995 80 8029 1995 81 8026 1996 82 8025 1997 82 8026 1997 83 8025 1997 83 8027 1997 84 8026 1999 84 8027 1999 85 8028 1995 85 8029 1998"),head=TRUE,stringsAsFactors=FALSE)) Function to be

Hi list, Can anyone tell my why the following does not work? Thanks a lot! Your help is very much appreciated. DF = data.frame(read.table(textConnection(" B C D E F G 8025 1995 0 4 1 2 8025 1997 1 1 3 4 8026 1995 0 7 0 0 8026 1996 1 2 3 0 8026 1997 1 2 3 1 8026 1998 6 0 0 4 8026 1999 3 7 0 3 8027 1997 1 2 3 9 8027 1998 1 2 3 1 8027 1999

Hi, I am trying to use the objects from the list below to create more objects. For each year in h I am trying to create as many objects as there are B's keeping only the values of B. Example for 1999: $`1999`$`8025` B B 8025 8026 8027 8028 8029 8025 1 1 1 0 0 8026 1 0 0 0 0 8027 1 0 0 0 0 8028 0 0 0 0 0 8029

Hi list, Using the script below, I have generated two lists (c and h) containing yearly matrices. Now I would like to divide the matrices in c into multiple matrices based on h. The number of matrices should be equal to: length(unique(DF1$B))*length(h). So each unique value in DF1$B get's a yearly matrix. Each matrix should contain all values from c where element cij is 1. An example for

Hi, I need to perform calculations on subsets of a data frame: DF = data.frame(read.table(textConnection(" A B C D E F 1 a 1995 0 4 1 2 a 1997 1 1 3 3 b 1995 3 7 0 4 b 1996 1 2 3 5 b 1997 1 2 3 6 b 1998 6 0 0 7 b 1999 3 7 0 8 c 1997 1 2 3 9 c 1998 1 2 3 10 c 1999 6 0 0 11 d 1999 3 7 0 12 e 1995 1 2 3 13 e 1998 1 2 3 14 e 1999 6

Hi Everybody, I'd like to start archiving e-mails by moving them to a server with running Dovecot. I installed "dovecot-core" and "dovecot-imapd" (version 2.3.4.1) on Debian 10. One of a few configurations I made is to use Maildir: # grep '^mail_location = ' /etc/dovecot/conf.d/10-mail.conf mail_location = maildir:~/Maildir I successfully moved some e-mails (at

Hi, I'm encountering a strange situation. I'm writing to an ext3 filesystem mounted like this: /dev/scsi/host2/bus0/target0/lun0/part3 on /tmp/volumes/md0 type ext3 (rw,noatime,data=ordered) with the physical device being a FC-connected RAID (IBM DF4000) no software raid personality is used I'm using 2.4.18-19.7 My test program writes files in a loop, with the essential system

Hi, I have the next procedure: t1<-data.frame(table(substr(names(subset(lasker[[1]], lasker[[1]] >= 4)), 1, 7))) t1[1:5,] Var1 Freq 1 1988-02 3 2 1988-03 1 3 1988-04 1 4 1988-05 2 5 1988-06 3 How to make a new list?, dataframe? having 189 elements in the 'lasker' list: > str(lasker[[1]]) 'table' int [, 1:1274] 1 1 3 2 1 5 4 1 1 4 ... -

Hi, Having a dataframe 'l1' (dput output is below): >dim(l1) 1274 2 >l1[1:12,] Var1 Freq 1 1988-01-13 1 2 1988-01-16 1 3 1988-01-20 3 4 1988-01-25 2 5 1988-01-30 1 6 1988-02-01 5 7 1988-02-08 4 8 1988-02-14 1 9 1988-02-16 1 10 1988-02-18 4 11 1988-02-24 2 12 1988-03-04 1 I want to extract the times

Dear all, I have received some data on birds that looks sth like this: # a unique id for each individual id <- c(1,1,1,2,2,2,3,3,3,4,4,5,6) # the year the bird was measured year <- c(1995, 1996, 1997, 1995, 1996, 1997, 1996, 1997, 1998, 1996, 1997, 1997, 1998) # the year the bird was hatched year.hatch <- c(1995, 1995, 1995, 1995, 1995, 1995, 1996, 1996, 1996, 1996, 1996, 1997, 1998)

Hi useRs! I would like to know how to make aggregated data.frame with aggregate() tabulated. For example, I run the following command to aggregate re with respect to group1 and group2. > (aggr <- with(final, aggregate(re, group1, group2, mean))) Group.1 Group.2 x 1 1992 15 0.16392 2 1993 15 0.15467 3 1994 15 0.15456 4 1995 15 0.15391

Hello R-users,   The below is a snippet of my data:   fid crop year value 5_1_1 SWHE 1995 171 5_1_1 SWHE 1997 696 5_1_1 BARL 1996 114 5_1_1 BARL 1997 344 5_2_2 SWHE 1995 120 5_2_2 SWHE 1996 511 5_2_2 BARL 1996 239 5_2_2 BARL 1997 349   Here, I want to create dummy variables with the names of the content of a column 'crop' in a way

Hi, I have a list of 20 elements, each of them of variable length and with a structure like this: lasker[[1]][1:10,] Var1 Freq 1 1988-02 3 2 1988-03 1 3 1988-04 1 4 1988-05 2 5 1988-06 3 6 1988-07 1 7 1988-08 1 8 1988-09 1 9 1989-03 1 10 1989-04 1 How do I can insert in this list: 1988-01 0 1988-10 0 1988-11 0 1988-12 0 1989-01 0

Dear list, I'm looking for an inverse function of melt(which is in package reshape).Namely, I had a data frame like this (Table1) YEAR VAR1 VAR2 VAR3 1995 7 3 45 1996 5 6 32 1997 6 10 15 I transformed my data by using the melt function and my data was reshaped in the following format: (Table2) YEAR variable

Apologies for troubling the list, but it is a test that needs to be carried out. I am resending the message that I sent earlier on behalf of Paul Miller, but with a certain word used in the variables names of the SAS code changed to a different word. With thanks for your tolerance ... Ted. [*** PLEASE NOTE: I am sending this message on behalf of Paul Miller: Paul Miller <pjmiller_57 at

Hi all, I have the folowing frame(there are more columns than shown), 1 2 3 4 5 Year Total Tus Whi Norw 1994 1.00 1830 0 355 1995 1.00 0 0 0 1995 1.00 0 0 0 1995 1.00 4910 4280 695 1997 1.00 0 0

Sorry that I was unclear. For an individual to qualify for my analysis I want both of the following two criteria to be fulfilled: First, I want to select measurement taken at a certain age: for the focal individual the year of measurement (year) should be the same as year.hatch Second, I want the focal individual to be born by a mother that reproduces for the first time. So the /parents /of