similar to: NA's in survey analysis

Hi, I cannot figure out how to draw a certain plot: could someone help me out? I have this data.frame from a survey my.data that looks like something like this: col1 col2 col3 col4 1 5 5 4 5 2 3 5 3 1 3 2 3 4 5 4 3 1 1 2 5 5 5 4 5 6 4 2 5 5 .... Each row represents a single questionnaire

Hi, I have a data frame DATA, which (simplified of course) looks like this: know1 = c("Y","N","N","Y","N","N","Y","Y","N") par1=c(1,4,5,3,3,2,3,3,5) know2 = c("Y","Y","N","Y","N","N","N","Y","Y")

I have a data.frame with ~100 columns and I need a barplot for each column produced and saved in some directory. I am not sure it is possible - so please help me. this is my loop that does not work... vars <- list (substitute (G01_01), substitute (G01_02), substitute (G01_03), substitute (G01_04)) results <- data.frame ('Variable Name'=rep (NA, length (vars)),

I am looking for simple introduction to cluster analysis using R, that would be understandable to a novice in statistics. Or, could someone perhaps help me understand how to proceed in my analysis? I am very new to both statistics and R, but am trying hard to avoid having to use SPSS as everyone around me... I have dataset on people presenting their opinions on different religious

How do I make Lithuanian characters display correctly in R graphics? Instead of the special characters for Lithuanian language I get question marks... I use Ubuntu Feisty, the locale is utf-8 ... Do I need to specify somewhere the locale for R, or - default font for the graphics? -- Donatas Glodenis http://dg.lapas.info

Hi, I am trying to learn some basic statistics stuff but I cannot find any elementary statistics exercises using R language. Using RKward would be even better... I need that in analysing sociological data, obtained through questionnairres - findind corelations between variables, relations between different types of data, etc. Could anyone recommend simple tutorials/exercises, available on www

Is there a way to use one of the functions in the survey package to get a table of estimated percentages (or proportions) and the standard error for each? For example, suppose that AGECODE AND SEX are two factors with 5 and 2 levels. The 5x2 AGECODE x SEX table would have the estimated percentage of persons in each cell, 100*(sum of weights in the cell) / (sum of all weights) and the std

hi, i am trying to work with the survey package in order to apply survey design weights. the data set i am using - ess - contains missing values. my question: when using svytable(~variable1+variable2, design=my.svydesign.object, na.rm=T) the resulting crosstable contains all missings although i defined the na's as such. any ideas??? thanks a lot, katharina

Hi, I’m using the svyby for total statistics, for example: svyby(~p_igov,~div_a,desenho_nps,svytotal,drop.empty.groups=TRUE,vartype =c("se","var","cvpct")) In the numerical variable p_igov (and others) I have many non responses but if I maintain the NA it doesn’t work. summary(base_nps$p_igov) Min. 1st Qu. Median Mean 3rd Qu. Max. NA's

Hello! I have a dataset with NA's in some variables (factors), for example: $ P67 : Factor w/ 2 levels "-","+": NA 2 1 NA NA 2 1 1 2 NA ... I need to use 'xtabs' like xtabs(~x$P67) It works well and produces something like this: x$P67 - + 779 1318 but i want to compute NA's too, like this: x$P67 - + NA 779 1318 137 I am trying

Hi all, though i know this is a simple question, i really hope someone could. I am just trying to compare percents respectively the difference in percents by a simple test. t.test usually compares means and is working like it is supposed to be. Now i wonder how i can use a test in R to test for significant difference between two percentages.

Hi Anupam, Haven't heard from you in a long time. Perhaps you want something like this: at_df<-read.table(text= "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current Bank_Savings Bank_NA $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4 $75 4 1.71 28.90 35.65 33.74

Dear R Community, We have recently installed R 1.5.0 on several workstations. Ever since, if I try to extract certain numbers or lines from a file (which contains many NA's), I don't only get my desired line but all other lines which contain NA's. In a file with 15000 rows and 7500 NA's this is not very practical. In the earlier R-Version this worked when I typed in the

Hi, this following code: x<-c(1,2,NA) length(x) returns 3, correctly counting numbers as well as NA's. How can I exclude NA's from this count? Ralf

Hi all, I have a data set with missing value. I would like to estimate those missing value by using normal ratio method. Below is part of my data: AS BL Serdang Jhr Phg Target station 0 0.0 12.8 0.0 23.7 0.0 6 0.0 81.7 0.2 0.0 NA 0 1.5 60.9 0.0 0.0 15.5 1 13.0 56.8 17.5 32.8 6.4 4 3.0 66.4

Hi all, Based upon an exchange with G?ran Brostr?m on R-Help today: https://stat.ethz.ch/pipermail/r-help/2016-February/435992.html there appears to be a bug in summary.data.frame() in the case where a data frame contains Date class columns that contain NA's and other columns, if present, do not. Example, modified from R-Help: x <- c(18000000, 18810924, 19091227, 19027233, 19310526,

Hi, I often have large dataframes with many variables and many NA's, from which I would like to subset out some rows. Here is a toy example: > x <- data.frame(a = c("x", "y", "z"), b = c(1, NA, 5)) > x a b 1 x 1 2 y NA 3 z 5 I realize that, if I know the values in x$b that I want to subset, things are easy: > x[x$b %in% c(1),] a b 1 x 1

Consider > summary(1:5) Min. 1st Qu. Median Mean 3rd Qu. Max. 1 2 3 3 4 5 > summary(c(1:5,NA)) Min. 1st Qu. Median Mean 3rd Qu. Max. NA's 1 2 3 3 4 5 1 Wouldn't it be more stringent if "NA's" was also reported in the first case?? Regards S?ren

Hi, I've been trying to prepare some crosstables for some survey questions for a client. I have been using the CrossTable function in the gmodels package. However, this command only seems to be able to create CrossTables in text documents. I've been trying to use odfTable in odfweave to create tables that are standalone objects in the document that I can then convert to other

Hi, I have a object 'zoo': dim(zz) [1] 720 5551 where some columns only have NA's values (representing land data in a sea surface temperature dataset) I find straightforward the use of 'na.approx' for individual columns from the zz matrix, but when applied to the whole matrix: zz.approx<-na.approx(zz) Erro en approx(along[!na], y[!na], along[na], ...) : need