# statshelpers: Simple stats and tabulation helper functions In agsemisc: Miscellaneous plotting and utility functions

## Description

`a.iqr(x)` interquartile range of numeric vector

`a.qr(x)` ratio of 3rd to 1st quartile of numeric vector

`a.proportion.test(x1,x2, y1,y2, totals=FALSE)` compares x1/x2 to y1/y2 using fisher.test and prints the result. totals=TRUE means the supplied x2 is in fact (x1+x2); ditto for y2.

`a.findcorrelations(df, vars1=names(df), vars2=vars1, min.cor=0.5)` computes corrrelation (of values and of ranks) for each pair of variables from (vars1,vars2), sorts them by size and returns the large ones (along with descriptive names) as a vector. Ignores NAs.

`a.printextremes(df, vars, largest=5, showalso=NULL` given variable names a,b,c from dataframe df, prints the tuples a,b,c with the 5 largest values of a. Ditto for b and for c. largest can be a vector (along vars) and negative values print smallest instead of largest. Factors are moved from vars to showalso.

## Details

Type the name of a function to see its source code for details.

## Author(s)

Lutz Prechelt [email protected]

`cor`, `rank`, `quantile`, `summary`.
 ``` 1 2 3 4 5 6 7 8 9 10 11 12``` ```set.seed(17) base = rnorm(100) a = floor(base*10) b = floor(a+runif(100, -10, 11)) c=floor(base) d=ordered(floor(b/8)) # allows for rank correlation only df=data.frame(a=a,b=b,c=c,d=d) a.findcorrelations(df,min.cor=0.85) a.printextremes(iris, vars=c("Species", "Sepal.Length", "Petal.Width"), largest=c(3, -4, -5), showalso=c("Petal.Length")) ```