similar to: Help implementing a simple Python port

I am teaching myself R for use in Psych research. I don't understand the error message I am getting or how to fix it. Any suggestions will be greatly appreciated df1=read.table("fastfood.txt", header=TRUE); df1 > > c(t(as.matrix(df1))) > > r = c(t(as.matrix(df1))) # response data > > r > f=c("item1","item2", "item3") > k=3 >

Hi all, I have a data.frame I received with data that look like this (comma separated strings in last row): ID Shop Items ID1 A1 item1, item2, item3 ID2 A2 item4, item5 ID3 A1 item1, item3, item4 But I would like to unbind the strings in col(2) items so that it will look like this: ID Shop Items ID1 A1 item1 ID1 A1 item2 ID1 A1 item3 ID2 A2 item4 ID2 A2 item5 ID3 A1 item1 ID3 A1 item3 ID3 A1

Hello, I have two data frames. One is my dependent variable and the other is my independent variable. For each row I'd like to split the independent variable into fractiles (25 or more) and calculate the average value of the dependent variable. Then I would like to plot the average of the averages for each row for each fractile. If possible, I'd like to have the option to 1) define the

Hi, I have a question about reformatting data. It looks like it should be simple, but I've been working at it for awhile now and it's about time I ask for help. My data look like this: ITEM VALUE STEP item1 A first item2 C first item2 D second item1 A second item3 A first item3 B second item3 A third I just want to transform

I'm performing item response theory with eRm packages I am excluding the persons that doesn't fit in the infit/outfit persons. for that I created a condition. then I have to create a new subset or matrix but with the condition. So: ORIGINAL matrix<-cbind(item1, item2, item3, item4) IF I PERFORM A head(matrix) item1 item2 item3 item4 3 2 3 1 3 1

Hi All, Apologies if this has been answered somewhere else, but I have been searching for an answer all day and not been able to find one. I am trying to plot a path diagram for a CFA I have run, I have installed Rgraphviz and run the following: pathDiagram(cfa, min.rank='item1, item2, item3, item4, item5, item6, item7, item8, item9, item10, item11, item12', max.rank='SMP,

Hello All, Eric Langley here with my first post to this list. I am looking to determine if R is suitable for a development project I am working on and if so possibly finding someone proficient in R that would be interested in doing the coding. I would like to preface my inquiry that while I am not a programmer I can communicate in a dialog my objectives. An array of rank ordered data looks like

is there a method similar to php''s expload function in ruby. i have a database field that contains an array of items, when i output this field i notice the items are seperated by ''-'' e.g item1-item2-item3. how would i go about putting them back into an array in ruby. for example in PHP i would just do this: $field; // = item1-item2-item3 $field_as_array =

Hi, I have a class ''Menu'' with a method ''addItem''. The method (simplified) looks like this: addItem: function(itemId, text) { this.container.innerHTML += ''<div id="''+itemId+''">''+text+''</div>''; Event.observe(itemId, ''mouseover'',

_______________________________________________________________________________________ Hi, I'm writing up the online help for a package I'm developing (in-house only, sorry), and I've come across an odd glitch when trying to nest a list inside the "arguments" section of the .Rd file. I was just wondering if anyone could provide some insights. I'm using R 2.2.0 on

Hi, I succeeded to read-in a transaction-table tr_dat with single items per line via RODBC of the form: Transact-ID ItemID 1 item1 1 item2 1 item3 2 item2 2 item3 ... how do I create a transaction object of the arules package from such a table? I tried this with read.transactions(tr_dat, format="single") of the package arules but I didn'd

Hello all Is there a way reducing the number of characters in a list so that just the left n numbers of characters is given? For example, If I have a list, listnames, which consists of 4 strings of 6 characters; >listnames [1] "item12" "item34" "item56" "item78" Is there a way to reduce this so only the 5 characters on the lefthand side are

I'm learning R and am converting some code from SPSS into R. My background is in SAS/SPSS so the vectorization is new to me and I'm trying to learn how to NOT use loops...or use them sparingly. I'm wondering what the most efficient to tackle a problem I'm working on is. Below is an example piece of code. Essentially what it does is set a variable to zero, loop through item

Dear R-users, I would like to construct a list of arguments for a function in a format function (list(item1=c("A","B"), item2=c("B","C")), item3=...): The individual vectors in the list are permutations of colnames of a dataframe. The trouble is that I am not able to handle escaping of parentheses correctly. I was trying the following: library(gregmisc)

Hi all, First time poster and a relatively new R user, I'm beginning analysis for my masters degree. I'm doing a bit of work on octopus behaviour, and while it's been fascinating, the stats behind it are a bit beyond my grasp at the moment. I was hoping that somebody with more experience my be able to look at my example and offer their wisdom, much to my appreciation :-) At the most

Hello R folks. 1) The question that generated the data, which I call Qx: Which of the following 5 items have you performed in the past month? (multipe response) 2) How the data is coded in my current dataframe: The first item that a person selected is coded under a field called Qxfirst; the second selected under Qxsecond, etc. For the first Person, the NAs mean that that person only selected

Hi [MacOsX 10.4.6; R-2.2.1] I have a bundle that comprises three packages. I want to run R CMD check on each one individually, as it takes a long time to run on all three. I am having problems. The bundle as a whole passes R CMD check, but fails when I cd to the bundle directory and run R CMD check on a package directory. The whole bundle passes: octopus:~/scratch% R CMD check

Hi, I'm trying out the package arules and I'm having a bit of trouble getting my data to work properly. I have a set of transactions with the purchased products but each product could appear in a different column in the data frame. This causes the rules to be built based on the ordering, which is not significant. Here is an example: # # Code: my.df <- data.frame(

I am trying the following lattice graphics code: > library(lattice) > attach(junk) > summary(junk) mean.barr variable value Min. : 3.50 item15 :15 Min. :0.0000 1st Qu.: 9.50 item14 :14 1st Qu.:0.0000 Median :11.00 item16 :14 Median :0.0000 Mean :11.64 item1 : 0 Mean :0.6744 3rd Qu.:16.00 item2 : 0 3rd Qu.:1.0000 Max. :20.00 item3 :

Dear R-users, I keep getting an ERROR saying " Error in model.matrix.default(formula, mframe) : model frame and formula mismatch in model.matrix() " when i fit poLCA with more than 63 variables. Below are the details. I am trying to do a Latent Class Analysis using poLCA. My data set contains binary scores of, for instance, 200 students on 100 items. These numbers could even be more