In nandinigntr/MSDR: Mastering Software Development in R

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",

  options(warn=-1)
)

library(magrittr)
library(dplyr)
library(readr)
library(kableExtra)
library(msdr)
library(ggplot2)

Table of Contents

• 1. Introduction
• 2. Example

1. Introduction {#intro}

This function acts behind the scenes creating all the visuals to be displayed by the geom_timeline.

Although this function is wrapped by the geom_timeline you can still use it by the use of ggplot2::layer.

Example {#example}

Using ggplot2::layer to plot the visuals of GeomTimeline.

# Path to the raw data.
raw_data_path <- system.file("extdata", "signif.txt", package = "msdr")
# Loading the dataset of Earthquake.
df <- readr::read_delim(file = raw_data_path,      
                        delim = '\t',              
                        col_names = TRUE,          
                        progress = FALSE,           
                        col_types = readr::cols())
# Cleaning and Creating LOCATION column.
df_clean <- df %>% eq_clean_data() %>% filter(COUNTRY %in% c('CANADA','USA','MEXICO'))
# Plotting using layer.
ggplot2::ggplot() +
     ggplot2::layer(geom = GeomTimeline,
                    mapping = aes(x = DATE,
                                  y = COUNTRY,
                                  size = EQ_PRIMARY,
                                  color = TOTAL_DEATHS),
                    data = df_clean,
                    stat = 'identity',
                    position = 'identity',
                    show.legend = NA,
                    inherit.aes = TRUE,
                    params = list(na.rm = FALSE)) + theme_msdr()

nandinigntr/MSDR documentation built on Jan. 1, 2021, 11:32 a.m.