similar to: What package can I use to help me categorize comment responses?

Se quiere hacer una encuesta de actitudes a una población de 45000 personas, quisiera me sugirieran un script adecuado , he revisado algunos en epicalc, pero no encuentro la respuesta adecuada (prevalencia 0,5, error 5%) -- Este mensaje le ha llegado mediante el servicio de correo electronico que ofrece Infomed para respaldar el cumplimiento de las misiones del Sistema Nacional de Salud.

Estimados miembros de la comunidad de R Me gustaria conocer dado que estoy trabajando con datos del World Values Survey, y tengo que recodificar variables y manipularlas, por donde podria empezar a estudiar el uso de R en grandes surveys. Que podria comenzar a la leer. Su respuesta sera bienvenida saludos Antonio -- Member, Editorial Committee, *The Economic and Labour Relations Review* (a

I am trying to combine two data sets, one with daily values and one with weekly values.  SurveyData conatins environmental data collected on a daily basis.  sat.data contains satellite sea surface temperature that is an average of satellite measurements over a six day period.  I would like to combine the two files so that my output file has the daily dates from SurveyData and the weekly average

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'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

Defining data as you mentioned in your respond causes the following error: Error in UseMethod("tm_map", x) : no applicable method for 'tm_map' applied to an object of class "character" I can solve this error by using Corpus(VectorSource(my string)) and the using your command but I cannot see the number of stop words in my string! On Monday, June 12, 2017 8:36

Buenos días, quisiera saber si existe algún paquete en R para procesamiento de texto, búsqueda de similitudes y ese tipo de cosas. He estado buscando pero no he encontrado nada al respecto. Gracias Un saludo [[alternative HTML version deleted]]

hello, I am trying to do exploratory factor analysis with BRFSS dataset ( http://www.cdc.gov/brfss/technical_infodata/surveydata/2008.htm) for a couple of days, but I was not able to do that and got frustrated. Can anybody help me with step by step guide? BRFSS dataset provides ASCII or SAS format. Thank you. chloe [[alternative HTML version deleted]]

define your string as whatever object you want: data <- "Mhm . Alright . There's um a young boy that's getting a cookie jar . And it he's uh in bad shape because uh the thing is falling over . And in the picture the mother is washing dishes and doesn't see it . And so is the the water is overflowing in the sink . And the dishes might get falled over if you don't fell

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 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 <-

Hi All, I am wondering if there is any examples where you can count your interested "word" in each row. For an example if you have data with *'ID*' and '*write-up*' for 100 rows, how would I calculate the word frequency for each row ? Thank you for all your time. [[alternative HTML version deleted]]

assume dependent variable y( continuous),independent variable x ( continuous),I try to categorize x with some interval,such that,those intervals would has most significant different effect on y. any one knows which method I should apply,I really need some hints,thanks so much~ [[alternative HTML version deleted]]

Hola a todos: Necesito saber si alguien tiene alguna idea de un paquete con múltiples funciones (cálculos) para determinar el tamaño de la muestra (particularmente de estudios de psicología y ciencias sociales). De antemano agradezco la atención. Saludo desde Brasil *Guilherme Amorim Homem de Abreu Loureiro* Agronomist Engineer *CREA-BA: 051511013-2* Master of Science in Crop Production, Soil

Hi! I'm using R2HTML in my RcmdrPlugin.temis package to output localized strings to a HTML file. Thus, I insert a simple header at the top of the file to specify what encoding is used; if I don't do that, Web browsers assume it is latin1, which is not always true. My problem is, I could not find a way to detect what encoding is used by R2HTML in the most general case. R2HTML simply calls

Si antes de hacerlo tú mismo decides mirar otras opciones, además de las que te han dicho: survey <http://cran.at.r-project.org/web/packages/survey/index.html>analysis of complex survey samples sampling <http://cran.at.r-project.org/web/packages/sampling/index.html>Survey Samplingsamplingbook<http://cran.at.r-project.org/web/packages/samplingbook/index.html>Survey Sampling

Basic question: when I use names() to extract the name of a dataframe element, why does it have "." instead of " " between words? Context: I'm importing a CSV file of survey results for analysis. I read them like this: df <- read.csv("surveydata.csv",nrows=40,header=TRUE,

Hi, I know I can do this with a for loop with strsplit and grep, but is there more efficient way? Given a data dataframe (input) and a category column (lst), > input item loc 1 item 1.1: earnings <sep> item 1.2: w2 <sep> shelf 1 2 item 1.3: deductions drawer 1 3 item 1.1:

Back in 2003/2004 when finding the topic for my masters thesis, I had a secondary project idea, perhaps its about time to do something about the idea, and hear if anyone else thinks its a good idea? The basic idea is to: "Categorize traffic by behavior" The categorization should be based upon things like packet timing characteristics and packet size, rather than standard port

I am sure this is a very basic question: I have 600,000 categorical variables in a data.frame - each of which is classified as "0", "1", or "2" What I would like to do is collapse "1" and "2" and leave "0" by itself, such that after re-categorizing "0" = "0"; "1" = "1" and "2" =