similar to: re-coding variables

Hi All: I am working on a dataset of a study on healthcare workers. One of the variables I am studying is a categorical variable (variable name:EDUC, indicates educational achievement, with 6 levels: "illiterate", "primary", "junior high school", "high school completed", "undergraduate", and "postgraduate"). I want to collapse the

Dear All, I would be grateful if you can help me. My problem is the following: I have a data set like: ID time X1 X2 1 1 x111 x211 1 2 x112 x212 2 1 x121 x221 2 2 x122 x222 2 3 x123 x223 where X1 and X2 are 2 covariates and "time" is the time of observation and ID indicates the

I have a data set with seven inputs. Four of which are categorical. For my midterm, my professor wants us to scale all the inputs. This means, I pressume, that I have to use 'recode' or 'factor' to transform the categorical data in numerical. For example, one input variable is 'race=(b,w,h,o)'. I just want to assign a numerical value to all 'b,w,h,o'. I

Dear all, How can I plot the number of observations per box in a boxplot. Many thanks, Bernard --------------------------------- [[alternative HTML version deleted]]

Daer All, I have a factor variable, X with 5 levels. When I type tables(X) it gives me: table(X) 1 2 3 4 5 10 5 0 0 0 How to drop the levels with zeros such that when I will type: table(X) it will give me: table(X) 1 2 10 5 Thank a lot, Bernard --------------------------------- [[alternative HTML version deleted]]

Dear All, I wonder if there is any R function to generate a sequence of vectors from existing ones. For example: x 1<- c(1,2,3) x2 <- c(4,5) x3 <- c(6,7,8) The desired output is a list of all 3*2*3 = 18 possible combinations of elements of x1,x2 and x3. One element for example is (1,4,6). Many thanks in advance, Bernard

Dear All, I have written the following programs to find a non-singular (10*10) covariance matrix. Here is the program: nitems <- 10 x <- array(rnorm(5*nitems,3,3), c(5,nitems)) sigma <- t(x)%*%x inverse <- try(solve(sigma), TRUE) while(inherits(inverse, "try-error")) { x <- array(rnorm(5*nitems,3,3), c(5,nitems)) sigma <- t(x)%*%x inverse <-

Dear All, I wonder how to compute the age from the date of birth and the date of examination. Suppose that have the following data: df <- as.data.frame(rbind(c(1,"10/08/1950","15/03/1998"), c(1,"10/08/1950","20/07/1998"), c(1,"10/08/1950","23/10/1998"))) names(df) <- c("ID", "date_birth",

Dear All, I have a vector x = (1,1,1,2,2,2,3,3,3,3) I am looking for a function to return a vector containing the distinct elements of x i,e y = (1,2,3) The following code gives the desired results: as.numeric(levels(as.factor(x))) Is there any other elegant way? Thanks, B --------------------------------- [[alternative HTML version deleted]]

Hi All, I am frustrated by mixed-effects model! I have searched the web for hours, and found lots on the nested anova, but nothing useful on my specific case, which is: a random factor (C) is nested within one of the fixed-factors (A), and a second fixed factor (B) is crossed with the first fixed factor: C/A A B A x B My question: I have a functioning model using the aov command (see

Dear All, I am wondering if there is an R function to convert a covariance matrix to a correlation matrix. I have a covariance matrix sigma and I want to compute the corresponding correlation matrix R from sigma. Thank you very much, Bernard --------------------------------- [[alternative HTML version deleted]]

Dear All, How can I sort a data frame with respect to more than one variable? I know that for one variable X one may use: df[order(df$X), ] where df is the data frame containing X. Many thanks, Bernard --------------------------------- [[alternative HTML version deleted]]

Dear All, I am looking for an R function or any other reference to generate a series of correlated Binomial (not a Bernoulli) data. The "bindata" library can do this for the binary not the binomial case. Thank you, Bernard --------------------------------- [[alternative HTML version deleted]]

Hello, I have read through the manuals and can't seem to find an answer. I have a categorical, character variable that has hundreds of values. I want to group the existing values of this variable into a new, derived (categorical) variable by applying conditions to the values in the data. For example, suppose I have a data frame with variables: date, country, x, y, and z. x,y,z are

Hello I have a data base consisting of soil parameters, and tree species densities. The vcd (visualizing categorical data) package includes the ternaryplot function which plots the gravitation center of 3 prameters. I'd like to find a similar function for use with continuous data rather than categorical. Does anyone know of a function suitable for this objective? Thanks Steve

Dear All, Is there any R function to test if two data frames, say df1 and df2, having the same row names and the same column names are identiques? Thanks in advance, Bernard --------------------------------- [[alternative HTML version deleted]]

Dear All, I am looking how to specify the values on the y axis and x axis for a curve function. example: curve(2*x + 3, 0,10) gives me a range of x axis in (0,2,4,6,8,10) amd for yaxis (5,10,15,20). How to do in order to have the x axis in (0,1,2,3,4,5,6,7,8,9,10) and y axis in (5,6,7,8,......, 10). Thanks a lot, Bernard ---------------------------------

Dear All, I would like to use a nonparametric bootstrap to calculate the confidence intervals for the 5% and 95% quantiles using boot.ci. As you know, boot.ci requires the use of boot to generate bootstrap replicates for my statistic. However this last function doesn't work in my case because I am missing something. Here is an example y <- rnorm(100) Quantile <-

I am trying to use tree to partition a data set. The data set has 3924 observations. Partitioning seems to work for small subsets of the data, but when I use the entire data set, no partitioning occurs. The variables are: RESP respondent to a survey (0 = not a respondent, 1 = respondent) AGE_P Age (continuous) ORIGIN_I Hispanic Ethnicity (1 = Hispanic, 2 = non-Hispanic) RACRECI2 Race

If they are binary (0/1 dummies), can't you just "&" them as in table(Female & USA & MidIncome) (or sum() if you don't care about the number of 0s) -pd > On 2 Jun 2024, at 00:31 , Shadee Ashtari <shadee.ashtari at gmail.com> wrote: > > Hi! > > I am trying to find the code for how to get counts for intersectional > variables. For example,