theme_enr: E&R theme for all plots in presentation

In pearsonplc/vispear: A package facilitating data visualisation using Pearson branding

Description

E&R theme for all plots in presentation

Usage

theme_enr(method = "color", legend_title = "Legend", color = cat_colors,
  fig_number = "", text_font = "Open Sans",
  title_font = "Open Sans Semibold", axis_title_size = 22,
  axis_text_size = 17, xtext_slope = 0, xtext_position = 0.5,
  legend_object_size = 1.2, legend_text_size = 14, legend_title_size = 15)

Arguments

method	Which method was used to differ variables in a plot? Two possible value: color or fill.(Have to be the same method as used in ggplot phrase).
legend_title	Title of legend. Default value: "Legend"
color	Which color group we want to implement? Four possible group: categorical colors,diverging_colors, sequential colors or any other color vector. Default value: categorical_colors
fig_number	Number of figures. Default value = "".
text_font	Font used in a text element in a plot (axis and legend). Devault value: font = "Open Sans"
title_font	Font used in a title element in a plot (axis, legend and strip). Devault value: font = "Open Sans Semibold"
axis_title_size	Size of title of axis. Default size: 22.
axis_text_size	Size of value of axis. Default size: 17.
xtext_slope	Slope of value of x axis (in degree). Default slope value: 0.
xtext_position	Useful when xtext_slope != 0 (then this argument should be = 1). Distance between text and plot border. Default value: 0.5.
legend_object_size	Size of object in legend. Default falue: 1.2
legend_text_size	Size of text inside legend. Defalut size: 14.
legend_title_size	Size of legend title. Default size: 15.

Examples

## Not run: 
ggplot(mtcars, aes(factor(cyl), wt))+
     geom_bar(stat = "identity", fill = categorical_colors[1])+
     theme_enr()+
     draw_scale_numeric("y",0,60)

ggplot(diamonds[1:100,], aes(depth, carat, color = factor(cut)))+
     geom_point(size = 7)+
     theme_enr("color")+
     draw_scale_numeric("y",0,1,0.1,labels_percent = T)
     
## End(Not run)

pearsonplc/vispear documentation built on May 30, 2019, 3:45 p.m.