search for: ethnicities

Dear R-users I am trying to make an adjusted Kaplan-Meier curve (using the Survival package) but I am having difficulty with plotting it so that the plot only shows the curves for the adjusted results. My data come from a randomised controlled trial, and I would like the adjusted Kaplan-Meier curve to only show two curves for the adjusted survival: one for those on treatment (Treatment==1)

Buenas tardes, Quiero aplicar la función rbind y necesito tener los mismos nombres de columnas. Como tengo unas 195 variables en cada dataframe, necesito hacerlo de una forma rápida. Tengo 9 bases de datos y tengo que fusionar todas. ¿Como puedo comprobar que los nombres de las variables son los mismos? Y de lo contrario, ¿como detecto las diferencias? He probado con

Hi, I have the following data management issue. I am trying to combine multiple years of ethnicity data into one variable called ethnic. The data looks similar to the following id ethnic07 ethnic08 ethnic09 ethnic10 1 1 1 1 1 2 1 1 2 2 3 3 4 4

...ed to the standardized incidence ratio concept found in epidemiology. To answer your technical question: fit <- coxph(Surv(......... mysurv <- survfit(fit, newdata= mydata) This will give a set of predicted curves, one for each observation in mydata. If we assume 2 treatments and 4 ethnicities, this means that there are 8 possible predicted curves. You can certainly take the curves for "trt=1, white" and "trt=2, white", plot them together on one graph, and call this your "adjusted" survival curves; the mydata data set would have two observations. This i...

Hi, I am currently working to generate selection from my validation table where code and description pairs are stored. This works fine except when the current value is not exist in validation table. There are some old data which contains values that are no longer used and not in my validation table. I do not want to add old values in my validation table; however, I would like to display these

Dear friends, I am trying to understand and implement instrumental variables regression using R. I found a small (simple) example here which purportedly illustrates the mechanics (using 2-stage least-squares): http://www.r-bloggers.com/a-simple-instrumental-variables-problem/ Basically, here are the R commands (reproducible example) from that site: # ------ begin R library(AER)

Two things I think are some of the best developments in statistics and production are the lattice package and the beamer class for presentation in Latex. One thing I have not become very good at is properly sizing my visuals to look good in a presentation. For instance, I have the following code that creates a nice plot (sorry, cannot provide reproducible data).

Hi R-ers: I'm drawing a plot and have used different line types (lty) for different race/ethnicity groups. I want a legend that explains what line types correspond to the different race/ethnicity groups. I used the following code: legend( 1992 , 42 , c("Hispanic" , "non-Hispanic white (NHW)" , "non-Hispanic black" , "AI/AN" , "Asian" ) ,

Hola, Tengo un tabla de datos con pacientes asistidos, para los cuáles tengo variables como dni, género, programa de atención etc. Hay pacientes que atendieron en más de un programa por lo cuál se repiten en la tabla. Lo que quiero es poder contar con una matriz que me permita identificar la cantidad de pacientes que coinciden entre programas. Va un ejemplo: [image: image.png] Intenté de

Hello all, Let's say I have a character string "Race-ethnicity-----coding information" I want to extract all text before the multiple dashes, including the word "ethnicity." I wrote a handy function to extract the first matched text: grepcut <- function(pattern,x){ start.and.length <- regexpr(pattern,x) substring(x,start.and.length,start.and.length

Dear list I'm using the reshape command and want to reshape a wide data set to a long one e.g. I have the variables y1,y2,y3,age1,age2,age3,sex,ethnic I want my new long data set to consist of the variables y (which has been created from y1,y2,y3), age (which has been created from age1,age2,age3), sex and ethnic I have tried to use the command:

Hi, I am working on a norwegian linux distro. As far as I know syslinux can't display any characters that is not in the us ascii table. is there a way to load a different ascii table? Tor H?kon Gjerde

WinXP, R-2.9.1 LS., I have been trying to solve a (for me) tricky issue. No matter what I've tried, I just can't find a way to do this. This is the issue: I have a text file (ansi text) "titles.txt" with lines of text; here is an example of such a file: >>>>> a brief history of polio vaccines anti-vaccination movements and their interpretations early warning

...et or as a prostitute, just for being born to the wrong ethnic group. There are 200 million "white" people in America and, what, twice that number in Europe? How many "white" ethnic groups are there? I mean, in some places Chinese, Korean and Japanese are now "white" ethnicities. What kind of idiot thinks hundreds of millions of highly diverse people (ethnically, religiously, culturally) can all be unfairly privileged at once? There's something disgustingly racist about the idea that white people are so awesome as to never have conflicts with each other. ------------...

I had occasion recently to read in a one-line *.csv file that looked like: "CandidateName","NSN","Ethnicity","dob","gender" "Smith, Mary Jane",111222333,"E","2/25/1989","F" That "F" (for female) in the last field got transformed to FALSE. Apparently read.csv (and hence read.table) are inferring

Hi, Attempting to use the "anesrake" raking (also referred to as rim weighting) package to weight survey data (Note: DATA is listed at the bottom along with SESSION INFO AND COMMANDS ARGUMENTS USED to allow you to reproduce the error). Presents following error message: *"Error in selecthighestpcts(discrep1, inputter, pctlim) : * * No variables are off by more than 5 percent using

Dear R Users: I have race-ethnicity groups identified in the factor variable Ethnic_G. I need to collapse Ethnic_G into a new variable with only two factors, 1 (White, non-Hispanic) and 2 (Minority). As seen in the code and output below, the recoded race-ethnicity variable is put into logical format, not factor format. I've used library(car) and the package was updated. Any ideas on

Hi All, The data set that I have is a cluster data, and I want to run a HLM mixed model with multi-level response. Here is my data set: response: - Level (num: 1, 2, 3, 4, 5 - 5 levels) Covariates: - Type (Factor: A, B, C - 3 levels) - yr (num: 2006, 2007, ...) - Male (num: 0=not Male, 1=Male - 2 levels) - Ethnicity (Factor: A, B, H, ..., - 7 levels) - ELL (num: 0, 1, - 2

Hello everybody, I have been recently using reshape to convert "long" data to "wide" data. Everything was going well until I reached some problematic datasets. It has taken me a couple of weeks to finally figure out what might be happening. The problem is reproducible with test cases, and on two versions of R (Windows 2.2.0 and x86-64 Fedora Core 3 R 2.2.0). The data

I am having trouble generating a graph. I want to know the % of respondents who answered that they "strongly agree" or "agree" the "America owes R's ethnic group a better chance" (BTTRCHNC) and I want to organize it by racial group (RACESHRT). "BTTRCHNC" is organized ordinally from 1 through 5 with 1=Strongly Agree, 5=Strongly Disagree