similar to: newbie subset question

I can't figure out the syntax I need to get subset to work. I'm trying to split my dataframe into two parts. I'm sure this is a simple issue, but I'm stumped. I either get all or none of the original "rows". > XTTable <- xtabs( ~ direction_ , SurveyData) > XTTable direction_ EASTBOUND

I presume the behavior below (no Connector values in the second table) is because I have na values in my dataframe. How do I get them to list? I found references to na.action and na.pass, but I could not figure out how I could use them with xtabs to list the na as a value. I'm sure there's a simple syntax I need, but it's not obvious to me. > # Weighted Data

I'm trying to prepare some cross tabs, looking at a number of variables against a variable "connector" which has 2 values: "OD Passenger" and " Connector". When I produce a xtabs one way I have observations under "Connector" but against a different variable "Connector" shows all 0 values. What is wrong? I've looked into the na commands

Does anyone have an R Syntax Highlighting file {userDefineLang.xml} for NotePad++?? I've started one, but I'm not so happy with it. Robert Farley Metro 1 Gateway Plaza Mail Stop 99-23-7 Los Angeles, CA 90012-2952 Voice: (213)922-2532 Fax: (213)922-2868 www.Metro.net [[alternative HTML version deleted]]

I apologize in advance for the simplicity of this question. I use R 2-3 times a year, and I seem to forget more in the intervening months than I learn during my days of panicked reading.... I HAVE tried looking at the help resources; I'm just not very good at understanding them. I have a dataframe with 18 observations of 5 different things, and a second dataframe with and estimate for those

I obviously don't know what I'm doing. I want to create "ByEBNum" as a data frame, but it comes out as a list. How do I make it a data frame? > EBNumStn <- c(673.65, 800, 1000, 1000, 800, 700, 600, 500, 400, 200, 50, 50 ) > ByEBNum <- data.frame(c(1:12),EBNumStn) > typeof(EBNumStn) [1] "double" > typeof(c(1:12)) [1]

First the R question. I have the results of a rather large survey (thousands of forms, each with dozens of questions) with some existing weights and expansion factors. I wish to add additional weighting factors, based on new information that elements of certain variables should appear in certain proportions. Where should I look in R to develop what is essentially an N-dimensional balancing

I'm having a problem reading data to set control totals for a dataframe. I want to adjust a dataframe based on a 2-d table of values, which I get by using : > CurrentX1Sums <- as.matrix(xtabs(~tripid_nu+lineon, data=SurveyData)) > CurrentX2Sums <- apply(CurrentX1Sums, 1, sum) I've created a .csv file with new (target) sums that looks like this: tripid_nu Warner

I have a dataframe from an On-Board Survey with weights ("expwgt") and variables for up to 8 used lines: VEH1 through VEH8. The lines are labeled "MT-..1" through "MT-902". I want to know how many transfers there are between MT-802 and MT-901. That is, when one of them is VEHx and the other is VEHx+1 or VEHx-1 E.g. {VEH1 = MT-802 AND VEH2 = MT-901 } plus {VEH2 =

I want to calculate "expansion factors" for elements in my dataframe based on a 2-d cross classification. Since I'll have "missing values" (many combinations will have no record) I'll need a second "expansion factor" for each "row". I've included my "work to date" below, but I'm not very close to getting this right. My

I'm plotting some trip length frequencies using the following code: plot( density(zTestData$Distance, weights=zTestData$Actual), xlim=c(0,10), main="Test TLFD", xlab="Distance", col=6 ) lines(density(zTestData$Distance, weights=zTestData$FlatWeight), col=2) lines(density(zTestData$Distance, weights=zTestData$BrdWeight ), col=3) which works fine except the

I'm trying to learn how to calibrate/postStratify/rake survey data in preparation for a large survey effort we're about to embark upon. As a working example, I have results from a small survey of ~650 respondents, ~90 response fields each. I'm trying to learn how to (properly?) apply the aforementioned functions. My data are from a bus on board survey. The expansion in the

I'm trying to plot a series of densities using/comparing differing weights. I see the reference to weights and subscripts, but I don't understand how to implement that. My data are of the form: I, J, Actual, Distance, Subset, Weight1, Weight2, ... I'm trying to see the effect of the distance distribution (Actual by Distance) compared to the various weighted distributions

I'm about to add weights to a bus on-board survey dataset with ~150 variables and ~28,000 records. My intention is to weight (for each bus "run") by boarding stop and alighting stop. I've seen the Rake function of the Survey package, but it seems that converting to a "svydesign" might be excessive for my purpose. My dataset has a huge number of unique

The problem here is Table doesn't seem to have a way to weigh the data. > ToyData Data1 Data2 Data3 Weight 101 Sam Red Banana 1.1 102 Sam Green Banana 2.1 103 Sam Blue Orange 2.1 104 Fred Red Orange 2.1 105 Fred Green Guava 2.1 106 Fred Blue Guava 2.1 107 <NA> Red Pear 50.1 108 <NA> Green Pear 50.1 109 <NA> Blue

I'm unable to open an SPSS file over my network. If I copy it to my local C:/ drive I can read it. I saved the command (in a "crib sheet" text file) in order to avoid all the typing, so I'm pretty sure I've done it before. I verified that the file I'm trying to read is OK. This is what happens: > SurveyData <-

I've been trying to set my email setting to Digest Mode for a while, but it doesn't seem to "take". I log through to the "Unsubscribe or edit options" button on the Web interface to the R-help mailing list page. I scroll down to the "Set Digest Mode" box and change the radio button to "On". I click the "Submit My Changes" button

I have a dataframe with many hundreds of survey records containing: tripid_nu, lineon, MuchOtherData, X1, X2, X3, X4 tripid_nu = identifier for each "Trip" {E.g. for EB MTA-901 leaving the first stop at 07:24} lineon = identifier for each of the stop locations Where X1 is the ratio (for each trip/stop combination) of some target number to the number of records.

Good Morning ??? I have a small question regarding the function subset. I am copying data from one table but I just want to collect data from a user. When do I take the view, presents the results I want. The problem arises when can I make the tab. for RES_ID, introduces me to zero results do not envision noVIEW val_user='16' x.sub <-

I want to import some "target values" to normalize elements of a dataframe. I'm summarizing the existing totals using as.matrix(xtabs(~tripid_nu+lineon, data=SurveyData)) and reading a .csv table of target values. I can't even get them to list out as similar data items. My idea is to do something like this, but I don't know how to do it in R