## Cumulative probability distribution graph

Assume data is in the first variable of the data frame tz

n <- length(tz$V1) plot(sort(tz$V1), (1:n)/n, type="s")

This will plot a no-frills cumulative probability distribution graph.

## Histogram

Assume data is in the first variable of the data frame tz

hist(tz$V1, nclass=60)

This will plot a histogram with 60 buckets. If you leave nclass off, then R will compute what it thinks a reasonable bucket count and bucket width are. Note that you can also supply a vector declaring the width of each bucket.