The goal of hmsidwR is to provide the set of data used in the Health Metrics and the Spread of Infectious Diseases Machine Learning Applications and Spatial Modelling Analysis book. It also provides a set of functions to download data such as getunz()
, and gbd_get_data()
which allows the user to download data for the IHME SDG-API. With the theme_hmsid()
is possible a customization of the ggplot2 theme, the string_search()
function scan all folders and files to find a specific string. And, the kbfit()
function fits a variogram models and then a set of kriging models to spatial data to select the best model based on metrics.
Installation
install.packages("hmsidwR")
You can install the development version of hmsidwR from GitHub with:
# install.packages("devtools")
devtools::install_github("Fgazzelloni/hmsidwR")
Example
This is a basic example which shows you how to solve a common problem:
library(hmsidwR)
library(dplyr)
data(sdi90_19)
head(subset(sdi90_19, location == "Global"))
#> # A tibble: 6 × 3
#> location year value
#> <chr> <dbl> <dbl>
#> 1 Global 1990 0.511
#> 2 Global 1991 0.516
#> 3 Global 1992 0.521
#> 4 Global 1993 0.525
#> 5 Global 1994 0.529
#> 6 Global 1995 0.534