## ----setup-------------------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) # Install from CRAN # install.packages("CGPfunctions") # Or the development version from GitHub # install.packages("devtools") # devtools::install_github("ibecav/CGPfunctions") library(CGPfunctions) library(tidyr) library(dplyr) ## ----ggslope1, fig.height=10, fig.width=7------------------------------------- newggslopegraph(newcancer,Year,Survival,Type) ## ----ggslope2, fig.height=10, fig.width=7------------------------------------- newggslopegraph(dataframe = newcancer, Times = Year, Measurement = Survival, Grouping = Type, Title = "Estimates of Percent Survival Rates", SubTitle = "Based on: Edward Tufte, Beautiful Evidence, 174, 176.", Caption = NULL ) ## ----ggslope3, fig.height=5, fig.width=5-------------------------------------- moredata <- structure(list(Date = structure(c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L), .Label = c("11-May-18", "18-May-18", "25-May-18"), class = "factor"), Party = structure(c(5L, 3L, 2L, 1L, 4L, 5L, 3L, 2L, 1L, 4L, 5L, 3L, 2L, 1L, 4L), .Label = c("Green", "Liberal", "NDP", "Others", "PC"), class = "factor"), Pct = c(42.3, 28.4, 22.1, 5.4, 1.8, 41.9, 29.3, 22.3, 5, 1.4, 41.9, 26.8, 26.8, 5, 1.4)), class = "data.frame", row.names = c(NA, -15L)) #tail(moredata) newggslopegraph(moredata,Date,Pct,Party, Title = "Notional data", SubTitle = NULL, Caption = NULL) ## ----ggslope4, fig.height=5, fig.width=5-------------------------------------- newggslopegraph(moredata, Date, Pct, Party, Title = "Notional data", SubTitle = "none", Caption = "imaginary", LineColor = "gray", LineThickness = .5, YTextSize = 4 ) ## ----ggslope5, fig.height=5, fig.width=5-------------------------------------- newggslopegraph(moredata, Date, Pct, Party, Title = "Notional data", SubTitle = "none", Caption = "imaginary", LineColor = c("Green" = "gray", "Liberal" = "green", "NDP" = "red", "Others" = "gray", "PC" = "gray"), LineThickness = .5, YTextSize = 4 ) ## ----ggslope6, fig.height=12, fig.width=6------------------------------------- newggslopegraph(newgdp, Year, GDP, Country, Title = "Gross GDP", SubTitle = NULL, Caption = NULL, LineThickness = .5, YTextSize = 4, LineColor = c(rep("gray",3), "red", rep("gray",3), "red", rep("gray",10)) ) ## ----ggslope7, fig.height=7, fig.width=6-------------------------------------- newgdp$rGDP <- signif(newgdp$GDP, 2) newggslopegraph(newgdp, Year, rGDP, Country, Title = "Gross GDP", SubTitle = NULL, Caption = NULL, LineThickness = .5, YTextSize = 4, LineColor = c(rep("gray",6), rep("red",2), "red", rep("gray",10)) ) custom_colors <- tidyr::pivot_wider(newgdp, id_cols = Country, names_from = Year, values_from = GDP) %>% mutate(difference = Year1979 - Year1970) %>% mutate(trend = case_when( difference >= 2 ~ "green", difference <= -1 ~ "red", TRUE ~ "gray" ) ) %>% select(Country, trend) %>% tibble::deframe() custom_colors newggslopegraph(newgdp, Year, rGDP, Country, Title = "Gross GDP", SubTitle = NULL, Caption = NULL, LineThickness = .5, YTextSize = 4, LineColor = custom_colors )