similar to: Adding Functionality to stat.table in Epi

Hello, I was wondering who to contact to see about somehow interconnecting or integrating the programs R and Epi Info. I have been involved in the development of Epi Info which is a software program developed by the Centers for Disease Control and Prevention (CDC) in Atlanta (www.cdc.gov/epiinfo<http://www.cdc.gov/epiinfo>). Epi Info allows for creating data entry systems and performs

Where I work a lot of people end up using Excel spreadsheets for storing data. This has limitations and maybe some less than obvious problems. I'd like to recommend a uniform way for storing and archiving data collected in the department. Most of the data could be stored in simple csv type files but it would be nice to have something that stores more information about the variables and units.

Dear all, I would like to calculate the optimal cut off (threshold) of a test using the Epi package. Here I am presenting some data based on the output of two tests. I am interested in identifying the optimal cut off an its 95% CI. Running the ROC() function with the Epi package I obtain a nice picture that returns what I interpret as the optimal cut off with lr.eta=0.431. would be this the

The name conflicts in Epi and ROC packages (2 'ROC' functions are the problem) cause the following code to work once, but not twice: library(MASS); data(cats); x = cats[,2] y = ifelse(cats[,1]=='F',0,1) library(Epi); ROC(x,y,grid=0)$AUC library(ROC); AUC(rocdemo.sca(y, x, dxrule.sca)) What is the standard way of resolving name conflicts? Ask maintainers to resolve

This is a really simple question, I'm sure,but I can't make EpiR work! I keep getting the following: > epi.2by2(47, 263483, 282, 935028, method="cohort.time", conf.level=0.95) Error in epi.2by2(47, 263483, 282, 935028, method = "cohort.time", conf.level = 0.95) : unused argument(s) (935028) and I really don't know why!. Any ideas very very welcome thank

Hello: Does anybody knows if Epi Info, from CDC (www.cdc.gov/epiinfo) runs on Wine? I did try AppDB first but there are no entries for Epi Info. Epi Info is a data base for epidemiology and public-heath developed by Centers for Disease Control and Prevention (USA) and heavilly used in the world. It is based on Access 97 or 2000 witch I found in Frank's Corner AppDB. Thank you, Gerson

R Fans-- I am having problems with the following code. It worked under R 2.6.0 but not in 2.7.0. > library(Epi) > df <- read.table( "c:/Documents and Settings/Troy S/My Documents/debug_chisq_080613b.txt") > summary(df) cvd agecat Min. :0.0000 (0,40] :1 1st Qu.:0.0000 (40,60]:2 Median :0.0000 Mean :0.3333 3rd

Hi all, I have a question and I do not know If I am at the right place to ask this question. But is there someone that has the formula of CKD-Epi in code in R? I have tried a lot of loops, but none of the approaches give me the right answer. Is there someone who has this formula coded? Thank you! [[alternative HTML version deleted]]

Hi all, At the Barcelona Supercomputing Center, we have been working on an end-to-end vectorizer using scalable vectors for RISC-V Vector extension in context of the EPI Project <https://www.european-processor-initiative.eu/accelerator/>. We earlier shared a demo of our prototype implementation  (https://repo.hca.bsc.es/epic/z/9eYRIF, see below) with the folks involved with LLVM

I'm new to R. I'm extracting important columns from single table using following code: File2<-"file.txt" table2<- read.delim(File2, skip=19, sep=";", header=F, na.strings=NA, fill=T) #extracting column 7 where rows match "ID" col1<- table2[grep("ID", table2[,1]),7] #similarly extracting column 9,11,13,15 col2<-

Greetings! I suspect that there is an error in the code for the function ci.pd() in the Epi package. This function is for computing confidence intervals for a difference of proportions between two independent groups of 0/1 responses, and implements the Newcombe ("Nc") method and the Agrasti-Caffo "AC" method. I think there is an error in the computation for the Newcombe

Hi, I have following 2 tables: Table 1: POSTAL | VALUE 1000|49 1010|100 1020|50 Table 2: INSEE | POSTAL A|1000 B|1000 C|1010 D|1020 I would like to convert this to the following: INSEE | VALUE_SPREAD A|24.5 B|24.5 C|100 D|50 I can achieve this with a nested SQL query (through counting the number of POSTAL that belong to any given INSEE, and diving the value of the postal in that INSEE by

Hi all, I want to know how to perform the test Breslow-Day test for homogeneity of odds ratios (OR) stratified for svytable. This test is obtained with the following code: epi.2by2 (dat = daty, method = "case.control" conf.level = 0.95, units = 100, homogeneity = "breslow.day", verbose = TRUE) where "daty" is the object type table svytable consider it, but

I was hoping someone would be able to help me with creating a method. I have two tables. What I am trying to do is create a list of all the id''s from table2 that aren''t currently referenced by Table1''s address_id column. That way, when I create a new customer I can have a drop down list in the view of all the addresses that are not currently being used. ##### Database

Dear list members, I want to perform in R the analysis "simultaneous confidence interval for multiple proportions", as illustrated in the article of Agresti et al. (2008) "Simultaneous confidence intervals for comparing binomial parameter", Biometrics 64, 1270-1275. If I am not wrong the R function implementing the Agresti et al. method is prop.test(). I ask an help because I

I am trying to improve the look of an HTML table for a report (that needs to be pasted into Word). Here is an example. table2 <- structure(c(26L, 0L, 40L, 0L, 10L, 0L, 0L, 188L, 0L, 281L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 4L), .Dim = c(6L, 3L), .Dimnames = structure(list( myvar = c("Don't know", "Somewhat likely", "Somewhat unlikely", "Very

There is now an Epi-package on CRAN. It is intended for epidemiological analysis in R. It has its own homepage, http://www.pubhealth.ku.dk/~bxc/Epi The package has been used at the course "Statistical practise in Epidemiology with R", see http://www.pubhealth.ku.dk/~bxc/SPE. A mailing list for people using R for epidemiology, R-sig-Epi, has been set up, see

Dear all, I would like to calculate the optimal cut off (threshold) of a test using the Epi package. Here I am presenting some data based on the output of two tests. I am interested in identifying the optimal cut off and its 95% CI. Running the ROC() function with the Epi package I obtain a nice picture that returns what I interpret as the optimal cut off with lr.eta=0.491. would be this the

There is now an Epi-package on CRAN. It is intended for epidemiological analysis in R. It has its own homepage, http://www.pubhealth.ku.dk/~bxc/Epi The package has been used at the course "Statistical practise in Epidemiology with R", see http://www.pubhealth.ku.dk/~bxc/SPE. A mailing list for people using R for epidemiology, R-sig-Epi, has been set up, see

Dear R helpers I have a table and i need to make new table table1: sire snp1 snp2 snp3 snp4 snp5 snp6 snp7 snp8 snp9 snp10 snp11 snp12 snp13 snp14 snp15 8877 -1 -1 -1 -1 0 0 -1 -1 -1 0 1 1 1 -1 -1 7765 1 1 1 0 0 0 -1 1 1 1 0 0 0 1 0 8766 1 1 -1 0 -1 -1 0 -1 0 -1 -1 -1 0 1 0 6756 0 1 0 -1 1 -1 -1 0 0 0 0 -1 0 1 1 5644 -1 0 1 -1 0 0 0 0 -1 -1 0 0 0 0 1 I have table2 sire