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.
Type the name of a function to see its source code for details.
Lutz Prechelt [email protected]
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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"))
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