similar to: Retrieving original data frame after repetition

Does anyone know how to read SPSS .por (ie Portable) files? The foreign package only deals with SPSS .sav files and not with those with a "por" extension. Thanks, José Mr José Luis Iparraguirre D'Elia Senior Research Economist Economic Research Institute of Northern Ireland Floral Buildings 2 - 14 East Bridge Street Belfast BT1 3NQ Northern Ireland United Kingdom

Dear all, Say I have the following dataset: > DF x y z [1] 1 1 1 [2] 2 2 2 [3] 3 3 NA [4] 4 NA 4 [5] NA 5 5 And I want to omit all the rows which have NA, but only in columns X and Y, so that I get: x y z 1 1 1 2 2 2 3 3 NA If I use na.omit(DF), I would delete the row for which z=NA, obtaining thus x y z 1 1 1 2 2 2

Dear all, Does anyone know if the PLM package (to run Panel Data Analysis) accepts quarterly data? The package vignette and documentation only use annual data -and the only time index available seems to work for years. José Mr José Luis Iparraguirre Senior Research Economist Economic Research Institute of Northern Ireland 2 -14 East Bridge Street Belfast BT1 3NQ Northern

Hi all, I've searched high and low on this and found nothing of help. I'm using v2.6.2 and trying to write a function that will count how many people from a dataset fall under a poverty line of 50% of the mean income. a9 is my 100-element vector of incomes. I want pa9 to be my vector that counts how many of these are classed as in poverty. My problem is that my command if(a9[i] <

Hi, Imagine I have the following data frame: > a <- c(1,NA,3) > b <- c(2,NA,NA) > c <- data.frame(cbind(a,b)) > c a b 1 1 2 2 NA NA 3 3 NA I want to delete the second row. If I use na.omit, that would also affect the third row. I tried to use a loop and an ifelse clause with is.na to get R identify that row in which all records are missing, as opposed to the first

Hi all, Thanks in advance for any help. I have a vector "b": b=c(1,1,1,2,3,4,3,2,1,1,1,1,1,2,3,4,5,4,3.5,3,2,1,1,1) Imagine b is river flow throughout time. I would like some code that will generate the following information: number of individual 'periods' where b>1 (= 2 in this case) period 1 length = 5, max = 4 period 2 length = 8, max = 5 I can't figure anything

Hello, I am working on extracting data from sound recording (fee bee song of the black-capped chickadee). I obtained a two column matrix with x=time(s) and y=frequency(khz). The part of the recording that is interesting me is when the frequency is stable. Does somebody ever used a fonction that extract only constant data among a huge list of data (sample= 180000)? Thanks Thibault Grava

I am using the function prop.test (base package), which returns a list with class "htest". All I want to do is to assign one of its values to a variable, but I do not want R to print the results and added warning message whenever I invoke the function. How can I prevent R from printing on using prop.test? Regards, Jos? Luis Mr Jos? Luis Iparraguirre Senior Research Economist Economic

Hi all, After running kruskal.test I have got results (p<0,005) pointing to reject the hypothesis that the samples were draw from the same population. Howerver when I run the kruskalmc there are no significant differences in any of the multiple comparisons. Is that possible? Some clarification? Thanks, Humber <https://sites.google.com/site/humberandrade> [[alternative HTML version

Hi: I have tried to find the appropriate clust algorithm for mixed type of data. The suggested way I see is: 1. use daisy to get the dissimilarity matrix 2. use PAM/hclust by providing the dissimilarity matrix, to get the clusters but by following this, when the data set grows bigger say 10,000 rows of data, the dissimilarity matrix will be O(n^2), and out of memory will occur. I am

Hello all, I tried to extract the p-value from adf.test in tseries; however, I got the error message such as > ht=adf.test(list.var$aa) > ht$p-value Error in ht$p - value : non-numeric argument to binary operator > ht Augmented Dickey-Fuller Test data: list.var$aa Dickey-Fuller = -2.3147, Lag order = 4, p-value = 0.4461 alternative hypothesis: stationary > ht$data [1]

I'm resending this message because I did not include a subject line in my first posting. Apologies for the inconvenience! Tanja > Hello, > > I'm trying to fit a generalized linear mixed model to estimate diabetes prevalence at US county level. To do this I'm using the glmer() function in package lme4. I can fit relatively simple models (i.e. few covariates) but when

Hello everybody, I have got a data set with about 400 companies. Each company has a score for its enviroment comportment between 0 and 100. These companies belong to about 15 different countries. I have e.g. 70 companies from UK and 5 from Luxembourg,- so the data set is pretty unbalanced and I want to do an ANOVA. Somthing like aov(enviromentscore~country). But the aov function is just for

Hi! I've been looking for a way to calculate std errors of marginal effects when I use interaction terms, but with no success. I pretty much have two cases: continuous variable * continuous variable, and continuous variable * binary variable. In both cases, I know how to calculate the marginal effects, even with simulation. But I still can't figure out how to calculate the std errors of

Hi Just a quick problem that I hope is simple to resolve. I'm doing some work with zero inflated poisson models using the pscl package. I can build models using zeroinfl and get outputs fom them with no problem, but when I try to use the predict.zeroinfl function, I get Error: could not find function "predict.zeroinfl". I was using an older version of R, but still had the same

Hello, I wrote a class like so: > rcfdpsuperclass <- setRefClass( > Class="rcfdpsuperclass", > fields = list( > RcfpdVersion = "character"), > methods = list( > initialize = function(){ > 'Populates fields with defaults and lock as appropriate' > initFields( > RcfpdVersion =

Hello, I'm trying to fit a generalized linear mixed model to estimate diabetes prevalence at US county level. To do this I'm using the glmer() function in package lme4. I can fit relatively simple models (i.e. few covariates) but when expanding the number of covariates I usually encounter the following error message. gm8 <-

Hello, R for Dummies. How can I exclude the first 1000 values of a vector (length 12000)? More generally all the values up to the ith? Thanks for your help, Dr Olivier Charansonney Cardiologue Centre Hospitalier Sud-Francilien, Corbeil-Essonnes, France [[alternative HTML version deleted]]

I know when I enter this into R: > x = c(15, 10, 13, 7, 9, 8, 21, 9, 14, 8) > y = c(15, 14, 12, 8, 14, 7, 16, 10, 15, 12) > t.test(x,y,alt="less",var.equal=TRUE) it shows: Two Sample t-test data: x and y t = -0.5331, df = 18, p-value = 0.3002 alternative hypothesis: true difference in means is less than 0 95 percent confidence interval: -Inf 2.027436 sample

Hi Experts, As i am a new in this forum, let me introduce myself:- i am Debaranjan, from India, Assam. I have heard many things about R and its statistical Magic feature. i am really have nothing knowledge about R language nor have ever used before. i am only a nursery in R. please help me in learning R. I have gone through many study material for R but have gain nothing