How’s that fried pickle sandwich treating you? Perhaps your taste in R functions are less bizarre than your taste in R commands?
Now you can easily find out using this new shiny app! In this post I use the R function frequency table compiled by John Myles White in 2009 in which he counts the occurrences of words in the source files of all CRAN packages.
I take his table and I modify it slightly to include a ranking system as well as a count of the number of characters in each function. In this Shiny application you can see both frequencies of functions graphically for a user specified range as well as find within the frequency chart easily search by imputing function names.
Play with the shiny app!
I before creating the shiny App I needed to work on the frequency data a bit:
First off get the CSV file provided by John Myles White:
freqTable <- read.csv("r_function_frequencies.csv")
# Let's look at the data
freqTable <-freqTable[order(freqTable$Call.Count, decreasing = T),]
# Okay so we have over 27,000 words with some of them appearing as
# infrequently as 12 times. Let's make the minimum 25 occurrences.
# freqTable <- freqTable[freqTable$Call.Count>=25,]
# Convert the freqTable data from factors to letters
freqTable[,1] <- as.character(freqTable[,1])
# When we rank the functions by occurance we have a total of 660
# different levels
numbers <- sort(unique(freqTable[,2]), decreasing=T)
nrank <- 1:length(numbers)
# This will create a ranking from 1 to length of unique frequencies
for (i in numbers) freqTable$rank[freqTable[,2]==i] <- nrank[i==numbers]
# Create a number of characters vector to be added to the frequency table
freqTable$nchar <- nchar(freqTable[,1])
# Save the table for access in Shiny