Jacob Kaplan

Jacob Kaplan

9 packages on CRAN

99.99th

Percentile

Lets you open a fixed-width ASCII file (.txt or .dat) that has an accompanying setup file (.sps or .sas). These file combinations are sometimes referred to as .txt+.sps, .txt+.sas, .dat+.sps, or .dat+.sas. This will only run in a txt-sps or txt-sas pair in which the setup file contains instructions to open that text file. It will NOT open other text files, .sav, .sas, or .por data files. Fixed-width ASCII files with setup files are common in older (pre-2000) government data.

boxoffice

cran
99.99th

Percentile

Download daily box office information (how much each movie earned in theaters) using data from either Box Office Mojo (<http://www.boxofficemojo.com/>) or The Numbers (<http://www.the-numbers.com/>).

caesar

cran
99.99th

Percentile

Encrypts and decrypts strings using either the Caesar cipher or a pseudorandom number generation (using set.seed()) method.

99.99th

Percentile

Converts the United States Census geographic code for city, state (FIP and ICP), region, and birthplace, into the name of the region. e.g. takes an input of Census city code 5330 to it's actual city, Philadelphia. Will return NA for code that doesn't correspond to real location.

99.99th

Percentile

Creates dummy columns from columns that have categorical variables (character or factor types). You can also specify which columns to make dummies out of, or which columns to ignore. Also creates dummy rows from character, factor, and Date columns. This package provides a significant speed increase from creating dummy variables through model.matrix().

99.99th

Percentile

API client for genderize.io which will tell you the gender of the name you input. Use the first name of the person you are interested in to find their gender.

99.99th

Percentile

Prints a random quote from Marcus Aurelius' book Meditations.

99.99th

Percentile

Predicts the most common race of a surname based on U.S. Census data.

99.99th

Percentile

Changes the column names of the inputted dataset to the correct names from the Uniform Crime Report codebook for the "Offenses Known and Clearance by Arrest" datasets from 1998-2014.