In LinaQiu/packageForGapminder: Make it easier to see whether there is any linear relationship between pop/lifeExp/gdpPercap and year for countries in GAPMINDER dataset

About packageForGapminder

packageForGapminder is a package which makes model pop/lifeExp/gdpPercap VS year for countries in gapminder dataset easier, as well as makes it possible to use only one line code to help you get a intuitive view on how well pop/lifeExp/gdpPercap and year in gapminder dataset fits a linear model.

To install the package:

library(packageForGapminder)
## load some other packages here
library(knitr)
options(knitr.table.format="markdown")        #Set the format for tables as "markdown"

In this package, we have three functions in total. See below.

• gapminder_lmfit(): Fit a linear model to pop/lifeExp/gdpPercap VS year for a country in gapminder dataset.

• gapminder_lm_table(): Create a table for fitted linear model between variables pop/lifeExp/gdpPercap and year in gapminder dataset.

• gapminder_lm_plot():Draw a plot to show how well pop/lifeExp/gdpPercap and year in gapminder dataset fits a linear model.

Besides, by default, all these three funtions will fit the linear model to data pop VS year for a gapminder country.

Using gapminder_lmfit():

Fit linear model to gapminder country data.

gapminder_lmfit("Canada")                   ##fit a linear model to pop VS year for "Canada"
gapminder_lmfit("Canada","year","lifeExp")  ##fit a linear model to lifeExp VS year for "Canada"
gapminder_lmfit("China","year","gdpPercap") ##fit a linear model to gdpPercap VS year for "China"

Using gapminder_lm_table():

Get the table which compares the actual pop/lifeExp/gdpPercap values with the predicted values that we compute from the linear model.

table1 <- gapminder_lm_table("Canada")
kable(table1)
table2 <- gapminder_lm_table("Canada","year","lifeExp")
kable(table2)
table3 <- gapminder_lm_table("China","year","gdpPercap")
kable(table3)

Using gapminder_lm_plot():

Draw a plot to give you an intuitive view on how well a gapminder country data(pop/lifeExp/gdpPercap VS year) fits a linear model.

gapminder_lm_plot("Canada")
gapminder_lm_plot("Canada","year","lifeExp")
gapminder_lm_plot("China","year","gdpPercap")

packageForGapminder really makes it easier to check the linear relationships between pop/lifeExp/gdpPercap and year for a gapminder country.

LinaQiu/packageForGapminder documentation built on May 8, 2019, 11:20 p.m.