df2ustat: computes univariate statistics from a data frame
In rbsb: set of ancillary functions

Description Usage Arguments Value Examples

Data being supposed to be a data frame: observation by rows, variables by columns being numeric or factor; standard univariate statistics are computed for each variable.

1 2	df2ustat(data, quant=c(0.01, 0.05, 0.10, 0.25, 0.50, 0.75, 0.90, 0.95, 0.99), nbmin=30)

`data`	Date frame containing the data set. NA values are accepted.
`quant`	(`numeric`) The desired quantiles to be computed for the continuous variables.
`nbmin`	(`numeric(1)`) Minimum number of observations required to compute the statistics for each variable.

a named list with as many components as variables (getting the variable names).
For numeric variables it is a named vector with standard statistics.
For categoric variables it is a matrix having a row for each category sorted according to the frequencies and four columns: frequencies, rounded percentages, rounded cumulated percentages in both directions (based on the level orders.

 rbsb3k("RESET"); # needed only for R checking, to be forgotten
 set.seed(1234);
 don <- matrix(round(runif(100)*100), 20);
 dimnames(don)[[2]] <- LETTERS[1:5];
 print(df2ustat(as.data.frame(don), quant=c(0, 0.5, 1), nbmin=5));
 set.seed(1234);
 don <- matrix(letters[1+round(runif(100)*10)], 20); 
 dimnames(don)[[2]] <- LETTERS[1:5];
 print(df2ustat(as.data.frame(don), nbmin=5));