In nick-moffitt/y2artisan: Shortcuts for mschart and ggplot2

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

y2clerk

Overview

y2aristan is the 3rd package in the y2analytics package series. It relies heavily on the first two packages, y2clerk and orderlabel, so be sure to have those installed first.

The goal of y2artisan is to quickly and easily create visualizations relying on the infrastructure provided by either ggplot2 or mschart. Using one of those two packages as the function prefix (gg_ or ms_), you can create the following types of charts with pre-set defaults: *_grouped_y2 (bar) *_histo_y2 *_line_y2 *_pie_y2 *_single_y2 (bar) *_stacked_y2 (bar)

You can also add these charts to PowerPoint through the add*c_y2 functions, or look at open ended questions with openend_y2 and wordcloud_y2. And don't forget to add in the hex codes for all the Qualtrics' default colors with add_colors_y2.

Installation

You can install the released version of y2clerk from CRAN with:

install.packages("y2artisan")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("nick-moffitt/y2artisan")

Examples

Below you will find a few basic examples which show you how to quickly get a frequencies table with freqs():

library(dplyr)
library(y2clerk)
library(orderlabel)
library(y2artisan)
library(officer)

# Create a data frame for the charts
frequencies <- mtcars %>%
  y2clerk::freqs(carb) %>%
  orderlabel::order_label(inherent_order_label = T)

# ggplot2 based charts
chart <- gg_single_y2(font_family = "sans")

# mschart based charts
color_settings <- list('blue')
text_settings<- list('result' = fp_text(font.size = 20))
#chart <- ms_single_y2()

Help

If you have issues using y2artisan, please post your issue on GitHub along with a minimal reproducible example. We will do our best to address your issues and get them fixed for the next version of y2artisan

nick-moffitt/y2artisan documentation built on July 30, 2023, 5:40 p.m.