similar to: summarized data set - how to use an "occurs" field

Dear Ms and Mr R, I am seeking a visually appealing presentation of 3 variables (~30 datapoints) that are correlated and that should to into the same direction. The objective is to show that they do go in the same direction and what differences there might be while also giving an idea of the values of the variables. I had done this with simple bargraphs for 6 datapoints in the past, but for

I have created a multivariate regression tree using mvpart, with 3-4 responses. Though the plot shows bargraphs for each response, I would like to have the VALUES of the responses printed or indicated (via a scale or something) alongside the bargraph. Is this possible ?? Thanks, Manjunath [[alternative HTML version deleted]]

I'm trying to use the pictex driver for bargraphs, and the shading isn't showing up. Is there any way to get some sort of shading in the plots? A hatch or stipple would be fine, too; just some way to differentiate the bars. The postscript driver won't do, since I'm trying to embed this in a LaTeX document which I'll use pdflatex on and \includegraphics for pdftex doesn't

I have data in the following list format: USER,VARIABLE,COUNT user1, var1, 3 user1, var2, 4 user2, var1, 7 userN, var12, 5 And would like to have it format as a matrix: var1 var2 var12 user1 3 4 user2 7 userN 5 What is the suggested method to do this for 1 million rows, with 12 variables and ~ 4,000 unique users? Thank you, Tim Stutt tim@ischool.berkeley.edu [[alternative

Hi, I have one of those questions that I suspect is very simple, but hard to classify, so I have been searching for quite some time and am not able to find it. If I have a data frame and I want to change all the values of one of the columns to blanks, what is the syntax? I tried a few different spellings of Null, etc., but can't get it. Can someone please send me what I suspect is a one

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

How would I find the Percent of FuelTypeNum within the Band given AvailableMW? example: type 1 is 1% of PB0 type 2 is 54% of PB0 type 4 is 4% of PB0 type 5 is 42% of PB0 Note: the Bands and fuel types are not always constant. Data: FuelTypeNum Bands AvailableMW AvailableMWNewFormat 1 PB0 185319 185.319 2 PB0 18352000 18352 4 PB0 1338785 1338.785 5 PB0 14189756 14189.756 2 PB1

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

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]]

Hi, I have a data frame with two columns. I need to remove duplicated rows in first column, but I need to do it conditionally to values of the second column. Example: Point_counts Psi_Sp 1 A 0 2 A 1 3 B 1 4 B 2 5 B 0

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

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) >

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"] }

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)?

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 R/Splus users.. I am posting in R discussion group in hope of wider response compared to what I received from Splus user groups.... Was wondering if there is any function available in Splus 8.2 that is equivalent to "reshape" of R? Below is a sample dataset. Size [both rows and columns) of the dataset may vary X1 Y1 Y2 Y3 0.25 40 38 22 0.5 44 41