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Hello, I have the following task I'd like to accomplish: A file contains 5 columns of data (several hundred rows), let's call them a, b, c, d and e (ie these are their column headers) I also have a set of definitions, e.g., f = a + b g = a * 3 h = c + d etc. I would like to write out a new .rda file that contains columns a b c d e f g h etc. I.e. , the original data plus new columns

Hi: Suppose that I have a data frame as below x1 x2 x3 ... x10 wk1 wk2 ... Wk208 (these are the column names) For each record, x1, x2, x3 ... x10 are attributes. and wk1, wk2, ..., wk208 are the sales recoreded for this attribute combination. Suppose that now, that I want to do the following 1. Merge the data frame so that I have a new data frame grouped by values of x2 and x3 (for example).

I have 5 (A,B,C,D,E) columns in my dataframe. I want to replace all "x" with "y" and all "a" with "b" within these 5 columns. Can I do it in one step? Thanks [[alternative HTML version deleted]]

Dear ALL, I fear my question has already been answered many times before, but I haven't fund that in archives... I am working on spatial datasets and, in most arrays I'm handling, there are two columns dedicated to (x,y)-coords. For different reasons - notably to draw image() plots, I need to have these two columns sorted in increasing order. But sort() and order() seem to apply to

Hello fellow R people, I can not figure out a pretty way to use strplit with vectors Imagine that I got the following data from someone with ID's representing several factors ID data A1-B1-t1 0 A1-B1-t2 1 A1-B2-t1 5 A1-B2-t2 10 A1-B10-t1 0 A1-B10-t2 1 A1-B20-t1 5 A1-B20-t2 10 ... I would like to turn this dataframe to station substation time data A1 B1 t1 0 A1 B1 t2 1 A1 B2 t1 5

I have a multidimensional data which looks like the following: "S1-a" "S2-b" "S3-c" "S4-d" "S5-a" "S6-b" "S7-c" "S8-d" "T1-A" "T1-B" "T1-C" "T1-D" "T2-A" "T2-B" "T2-C" "T2-D" I read it from csv file and would like to have 16

Hi, I want to sort a matrix by a specific variable without changing the row binding between variables. Ex. Name Sex Age Fred M 24 John M 18 Mary F 21 ordered by Age Name Sex Age John M 18 Mary F 21 Fred M 24 Thanks Angelo

Hello all: I'm sure this is quite simple, but I tried several options and I still can't get I right. I've got a data.frame and I want to delete all columns of which the sum is zero. Any ideas? Thanks, Frederico Mestre [[alternative HTML version deleted]]

Hi. i have a data, and there is 3 columns, Month, Year and Total. and there is over 1000 rows for them because there is 87 years data for every month, so there is month from Jan-Dec, and year from 1900-1987, so i was wondering if i would want to make 12 groups (Jan,Feb.......,Dec), and put each year's total into the corresponding month (so every month group will have 88 values of total) how

Hi Guys, I am trying to create 20 indivudual line graphs that will be updated on a weekly bases. I have managed to read in my data from SQL and defined my loop. I am having difficulty in plotting the data and I think it may have something to do with the way my data has been read in and maybe I need to change it in a dataframe?! Easch graph will be based on PolyNam, so this is defined in the

Hi all I have the next data frame year STOD SLAGNR TAL TALT TALVEKT 1 2002 2120006 57 1 NA 1 2 1997 97030032 57 NA NA NA 3 1997 97030071 27 1 NA NA 4 1997 97030005 57 1 NA NA 5 1997 97020127 60 NA 1 NA 6 2001 1160025 27 1 NA 1 7 1998 98020069 60 1 NA NA 8

Dear R-experts, I still have problems with the reading of a matrix. Input: matrixData6.txt A-Paar B-Paar C-Paar D-Paar E-Paar A 1 3 5 7 9 B 2 4 6 8 10 R-commands: y=read.table(file="Z:/Software/R-Programme/matrixData6.txt") y Result: A.Paar B.Paar C.Paar D.Paar E.Paar A 1 3 5 7 9 B 2 4 6 8 10 If you look into the txt-file

Dear all, I?ve got a simple self-written function to calculate the mean + s.e. from arcsine-transformed data: backsin<-function(x,y,...){ backtransf<-list() backtransf$back<-((sin(x[x!="NA"]))^2)*100 backtransf$mback<-tapply(backtransf$back,y[x!="NA"],mean)

I got a set of data which has seasonal trend in form of sinx, cosx, I don't have any idea on how to deal with it. Can you give me a starting point? Thanks, Terry

Hello All, I have a device that spews out experimental data as a series of text files each of which contains one column with several rows of numeric data. My problem is that for each trial it gives me one text file (and I run between 30 to 50 trials at a time) and I would ideally like to merge all these text files into one large data frame with each column representing a single trial. It is not

Dear R experts Sorry for posting: I have text file that I need to read into R (this is out from different program). A portion of data look like: ;example data 1_1 ch1 0.0 HAAAHHAAAHHAAAAAHHAHHAHAHHHAAHHAHAAAAHAAAHHAHHAAHAHHAAAAHAAAHHHAAAHHAHHHAAAHHHHAHHAAHAAAAHAHHHHHAAAHAHHAHHHHAHHHHHHHHHAAHAAHHHAHAAAAAHHHHHHAHHHHHAHHHH 1_2 ch1 0.1

Having given myself carpal tunnel looking for answer to this ... I have a dataset each column of which has 12 rows in it. I created a variable 'z' as follows: z=1:24 Since I have a large number of these plots to make, and they are a bit complex, I want to want to reference the column I want to plot via a variable containing the name of that column. As follows:

Hello, I am a relatively new R-user who has a lot to learn. I have a large dataset that is in the following dataframe format: red A B C green D blue E F Where red, green and blue are "species" names and A, B and C are observations (corresponding to DNA sequences). Each observation can only belong to one species. I would like to list the observations in one column, with the species

I am trying to use t.test on the following data: date type INTERVAL nCASES MTF SDF MTO SDO nFST MF nOBS MO MB BIASCV BIASEV ME MAE RMSE CRCF 2001-06-15 avn GE1.00 4385 0.246 0.300 1.502 0.556 1367 1.373 4385 1.502 1.471 0.285 0.164 -1.256 1.266 1.399 0.056 2001-06-15 avn