similar to: Fwd: How to conditionally remove dataframe rows?

Hello: I have a dataframe, where the first column in a month: Month CATCHMENT_ med min max 1 Apr Alknda01 71.68080 11.9406600 196.2753 2 Apr Alknda02 69.44580 12.1065600 196.2753 3 Apr ArialKhan 39.89310 5.8598700 175.4433 4 Apr Arjun01 4.79652 0.0093336 55.7136 5 Apr Arjun02 4.79652 0.0093336 55.7136 6 Apr Arun01 52.42320 0.1571928

Hello , Does Samba 2.2 has support for LDAP I want to use LDAP for user authentication instead of smbpasswd Any help in this regard would be highly appreciated Thanks & Regards Kalpit Jain Vice President-Technology Email: kalpit@netcore.co.in Netcore Solutions Pvt Ltd 402, Peninsula Chambers (Morarjee Mills Compound) Ganpat Rao Kadam Marg (Behind Piramal Hospital) Near A-Z Industrial

I used this service several months ago and was very pleased with the response. I have a dataframe with several thousand lines and to each line I need to apply a series of "if else" statements. For each row I need either a value or a blank/NA. Below is the series of if else statements I have been trying without success to integrate into a function such as "apply". if

I need some help summarizing complex data frames (small example below): m1_1 m2_1 m3_1 m1_2 m2_2 m3_2 i1 1 1 1 2 2 2 i1 2 1 1 2 2 2 i2 2 2 1 2 2 2 For an arbitrary number of columns (say m1 ?. m199) where the column names have variable patterns, and such that each set of columns is repeated (with potentially unique data) an

Hi all, I'm new to the list but have benfited from it quite extensively. Straight to my rather strange question: I have a data frame that contains mapping rules in this way: ACCOUNT, RULE COLUMNS, Effective Date The dataframe comes from a database that stores all dates. What I would like to do is to create a data frame with only the most recent rule for each account. In traditional

Hello all, I have not been able to find an answer to this problem. I feel like it might be so simple though that it might not get a response. Suppose I have a dataframe like the one I have copied below (minus the 'calib' column). I wish to create a column like calib where I am subtracting the 'Count' when 'stain' is 'none' from all other 'Count' data for

Hi all I have a data frame with duplicate columns and i want to remove duplicates by adding rows in each group of duplicates, but have lots of NA's. Data: dfrm <- data.frame(a = 1:4, b= 1:4, cc= 1:4, dd=1:10, ee=1:4) names(dfrm) <- c("a", "a", "b", "b", "b") dfrm[3,2:3]<-NA dfrm a a b b b 1 1 1 1 1 1 2 2 2 2 2 2 3

Dear all, let say I have following data frame: > data.frame(x=rnorm(18), y=rep(c("a", "b", "c"), each=6)) x y 1 -1.072152537 a 2 0.382985265 a 3 0.058877377 a 4 -0.006911939 a 5 -2.355269051 a 6 -0.303095553 a 7 0.484038422 b 8 0.733928931 b 9 -1.136014346 b 10 0.503552090 b 11 1.708609658 b 12 -0.294599403 b 13

R users: Thanks in advance  How to generate missing at random (MAR)? assaedi76@yahoo.com Thanks [[alternative HTML version deleted]]

I have a data set with 22 fields and several thousand records in which one field (count) indicates the number of times that each specific combination of the other 21 fields occurred in a bigger and largely unavailable data set. So each record is unique in its combination of field values and has a field that identifies how many multiples of this record actually occurred. Without resorting to

Hello, I have a file which contains a column with age, which is represented in the two following patterns 1. "007/A" or ''007/a" or ''7 /a" ..... In this case A or a means year and I would like to extract only the numeric values eg 7 in the above case if this pattern exits in a line of file. 2. "004/M" or "004/m" where M or m means month

It's easy to run a linear regression on a simple model without an intercept just by doing this: lm(y ~ x1 + x2 -1) Is there a similar trick to suppress the intercept when your model is in a large dataframe and you don't want to write out the names of individual columns? -- View this message in context:

I have a data.frame object like: > data.frame(x=c('A','A','B','B'), y=c('Ab','Ac','Ba','Bd')) x y 1 A Ab 2 A Ac 3 B Ba 4 B Bd how could I create a tree structure object like this: |---Ab A---| _| |---Ac | | |---Ba B---| |---Bb Thanks, Zech [[alternative HTML version deleted]]

Dear All, Debuting in R, I'm facing a problem. I have 2 vectors, say 'a' et 'b', and I'd like to merge them according to the proximity of their variable 'time'. How to do to keep elements which satisfy (for example) 'a$time-b$time<0.5'? For example : > a time x 1 1.0 4 2 2.2 5 3 5.2 6 > b time y 1 0 1 2 1 3 3 2 5 4 4 7 5

Hi everyone, Once again I am stuck with a problem I can't seem to figure out. I suppose this learning curve levels off eventually, lol. I am learning on my own with absolutely no background in programming, so if I seem to request help a lot it's not because I am seeking others to do the work for me. I need to assign one of two arrival times to the 'ARRIVE' variable of my

dear R-tists, i am experiencing a problem with the data editor in the windows version of R 1.6.1 envoked with the command 'fix'. the data editor changes the size of large data frames. a simple example illustrates this: ------------------------------------------------------- > dfrm <- data.frame(no=c(1:100000)) > length(dfrm[,1]) [1] 100000 > fix(dfrm) >

Hi, I need to filter my data: I think its easy but i'm stuck so i'll appreciate some help: I have a data frame with 14 variables and 6 million rows. About half of this rows have a value of "0" in 12 variables (the other two variables always have values). How can I delete the rows in which all 12 variables have the value of "0". example (from my data, variable 14 is

I would like to do some operations inside a function using only one value for the last dimension of a table/matrix: tabfn <- function (dfrm, facvec, YN ="event"){ return( Etbl <- do.call(table, dfrm[ , c(facvec, "event") ]) ) # just want Etbl[,,,"TRUE"] or Etbl[,, "TRUE"] or Etbl[,"TRUE"] }

Hello On my network there is no domain master browser, and my nmbd is spamming my /var/log/messages file with messages that it cound not find one. Can I configure nmbd not to look for the domain master browser ? Thank you, Timothy Madden

Dear R-brains, I'm rather new to state-space models and would benefit from the extra confidence in using the excellent package sspir. In a one-factor model, If I am trying to do a simple regression where I assume the intercept is constant and the 'Beta' is changing, how do I do that? How do i Initialize the filter (i.e. what is appropriate to set m0, and C0 for the example below)?