prepare_quantile_trend_graph: Prepares a Quantile Trend Graph

In ExPanDaR: Explore Your Data Interactively

Description

Reads a data frame and plots the quantiles of the specified variable by an ordered factor (normally the time-series indicator)

Usage

prepare_quantile_trend_graph(
  df,
  ts_id,
  quantiles = c(0.05, 0.25, 0.5, 0.75, 0.95),
  var = utils::tail(colnames(df[sapply(df, is.numeric) & colnames(df) != ts_id]), n =
    1),
  points = TRUE
)

Arguments

df	Data frame containing the ordered factor and the numerical variable to be plotted
ts_id	a string containing the column name of the ordered factor (normally the time-series indicator)
quantiles	a numerical vector containing the quantiles that are to be plotted
var	a string containing the column name of the variable to be plotted. Defaults to the last numerical variable of the data frame that is not ts_id.
points	Do you want points to indicate the statistics? Defaults to TRUE.

Value

A list containing two items:

"df"

A data frame containing the plotted quantiles

"plot"

The plot as returned by ggplot

Examples

prepare_quantile_trend_graph(worldbank, "year", var = "SP.DYN.LE00.IN")$plot +
  ggplot2::ylab("Life expectancy at birth world-wide")
df <- data.frame(year = floor(stats::time(datasets::EuStockMarkets)),
                 DAX = datasets::EuStockMarkets[,"DAX"])
graph <- prepare_quantile_trend_graph(df, "year", c(0.05, 0.25, 0.5, 0.75, 0.95))
graph$plot

ExPanDaR documentation built on Jan. 8, 2021, 5:36 p.m.