Help for package statprograms

Title:

Graduate Statistics Program Datasets

Version:

0.3.0

Description:

A small collection of data on graduate statistics programs from the United States.

URL:

https://brettklamer.com/work/statprograms/

License:

MIT + file LICENSE

Depends:

R (≥ 2.10.0)

LazyData:

TRUE

Encoding:

UTF-8

RoxygenNote:

7.3.2

NeedsCompilation:

Packaged:

2025-04-30 23:58:03 UTC; x

Author:

Brett Klamer [aut, cre]

Maintainer:

Brett Klamer <code@brettklamer.com>

Repository:

CRAN

Date/Publication:

2025-05-01 00:40:02 UTC

Degrees Awarded by Year

Description

This dataset contains the number of degrees awarded per year. It's based on data from the National Center for Education Statistics as retrieved by Steve Pierson. See https://community.amstat.org/blogs/steve-pierson/2014/07/28/categorization-of-statistics-degrees for more information.

Usage

degreesawarded

Format

A data.frame with 4606 observations and 5 columns. The columns are defined as follows:

school: The college
program_category: The program type categorized as either "Statistics" or "Biostatistics"
degree_category: The degree categorized as either "Master" or "Doctorate"
year: The year the degrees were awarded
count: The number of degrees awarded

Source

"Statistics and Biostatistics Degree Data.", https://www.amstat.org/education/statistics-and-biostatistics-degree-data

Examples

## Not run: 
data(degreesawarded)
summary(degreesawarded)

# In wide format as provided by Steve Pierson
library(tidyr)
spread(degreesawarded, key = year, value = count)

## End(Not run)

Graduate Statistics Program Data

Description

This dataset contains various information from the majority of graduate statistics programs in the United States.

Usage

statprograms

Format

A data.frame with 490 observations and 16 columns. The columns are defined as follows:

school: The college
program: The program type as advertised by the department
program_category: The program type categorized as either "Statistics" or "Biostatistics"
degree: The degree given by the department
degree_category: The degree categorized as either "Master" or "Doctorate"
state: The state
city: The city
square_miles: The square miles of the city (or region) from https://www.wikipedia.org/
population: The population of the city (or region) from https://www.wikipedia.org/ or https://www.census.gov/programs-surveys/popest/data/data-sets.html. Most are estimates from 2010 to 2014.
density: The population density
average_winter: The average winter temperature
average_summer: The average summer temperature
latitude: The latitude of the department's building (or as close as possible) from https://www.gps-coordinates.net/
longitude: The longitude of the department's building (or as close as possible) from https://www.gps-coordinates.net/
link: The URL of the department's website
date_collected: The date the information was recorded

Author(s)

Brett Klamer

Examples

## Not run: 
data(statprograms)
summary(statprograms)

#----------------------------------------------------------------------------
# Plot locations on a map
#----------------------------------------------------------------------------
library(maps)
library(ggplot2)
library(mapproj)

us_states <- map_data("state")

ggplot(
  data = statprograms[statprograms$state != "Alaska", ],
  mapping = aes(x = longitude, y = latitude)
) +
  geom_polygon(
    data = us_states,
    aes(x = long, y = lat, group = group),
    fill = "white",
    color = "gray50"
  ) +
  geom_point() +
  guides(fill = "none") +
  coord_map(
    projection = "albers",
    lat0 = 39,
    lat1 = 45
  ) +
  theme_bw()

## End(Not run)