alberto - 1 year ago 101

R Question

I often find myself doing this:

`# Original data`

df.test <- data.frame(value=floor(rexp(10000, 1/2)))

# Compute the frequency of every value

# or the probability

freqs <- tabulate(df.test$value)

probs <- freqs / sum(freqs)

# Create a new dataframe with the frequencies (or probabilities)

df.freqs <- data.frame(n=1:length(freqs), freq=freqs, probs=probs)

# Plot them, usually in log-log

g <- ggplot(df.freqs, aes(x=n, y = freq)) + geom_point() +

scale_y_log10() + scale_x_log10()

plot(g)

Can it be done just using

`ggplot`

Answer Source