similar to: R suitability for development project

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

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,

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

I need to wrap a loop inside a function and am having a small bit of difficulty getting the results I need. Below is a replicable example. # define functions pcm <- function(theta,d,score){ exp(rowSums(outer(theta,d[1:score],'-')))/ apply(exp(apply(outer(theta,d, '-'), 1, cumsum)), 2, sum) } foo <- function(theta,items, score){ like.mat <-

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 >

Folks, It has been a whole day spent on this but I still can''t get my mind around the most probably very stupid/basic mistake here... First, the code I use: <h3>List A</h3> <ul id="lista" > <li id="item1"> Item 1</li> <li id="item2"> Item 2</li> <li id="item3"> Item 3</li> </ul>

List: Thank you for the replies to my post yesterday. Gabor and Phil also gave useful replies on how to improve the function by relying on mapply rather than the explicit for loop. In general, I try and use the family of apply functions rather than the looping constructs such as for, while etc as a matter of practice. However, it seems the mapply function in this case is slower (in terms of CPU

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

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

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

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)

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'',

Hello, I'm switching over from SAS to R and am having trouble merging data frames. The data frames have several columns with the same name, and each has a different number of rows. Some of the values are missing from cells with the same column names in each data frame. I had hoped that when I merged the dataframes, every column with the same name would be merged, with the value in a complete

Hi I would like to transform a data frame like Subject Item Score Subject 1 Item 1 1 Subject 1 Item 2 0 Subject 1 Item 3 1 Subject 2 Item 1 1 Subject 2 Item 2 1 Subject 2 Item 3 0 .... *to * Subject Item1 Item2 Item3 .....Item N Subject1 1 0 1 Subject2 1 1 0 ........ SubjectP.. Apologize for the simple nature of my query but I am stuck.

Hi, I''m creating a list of ingredients on a page. When the user clicks the ''Add Ingredient'' button a record gets added to the db and the ingredient gets added to the page. On the page, each record is represented by a <div> with three <span>s inside. One of the <span>s has a link_to_remote to ''delete'' the ingredient. When the link

I have constructed the function mml2 (below) based on the likelihood function described in the minimal latex I have pasted below for anyone who wants to look at it. This function finds parameter estimates for a basic Rasch (IRT) model. Using the function without the gradient, using either nlminb or optim returns the correct parameter estimates and, in the case of optim, the correct standard

_______________________________________________________________________________________ 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

I have a 96x34 array of Likert scale data (96 cases, 34 items) of ordered factors (strongly disagree, disagree, neutral, agree, strongly agree) that are coded numerically (1 through 5). I cannot seem to convert this array (in any class) into ordered vectors. I have all the cases as vectors of ordered factors, but any which way I reassemble those vectors loses the ordered factors and converts