prepare_missing_values_graph: Prepares a Graph Displaying Missing Values in Panel Data
In ExPanDaR: Explore Your Data Interactively

Description Usage Arguments Details Value Examples

View source: R/prepapre_missing_values_graph.R

Displays a heatmap of missing value frequency across the panel

1	prepare_missing_values_graph(df, ts_id, no_factors = FALSE, binary = FALSE)

`df`	Data frame containing the data.
`ts_id`	A string containing the name of the variable indicating the time dimension. Needs to be coercible into an ordered factor.
`no_factors`	A logical value indicating whether you want to limit the plot to logical and numerical variables. Defaults to `FALSE`.
`binary`	If set to `TRUE`, the plot uses a binary scale only high-lightening whether values are missing or not. Defaults to `FALSE`.

This was inspired by a blog post of Rense Nieuwenhuis. Thanks!

A ggplot2 plot.

1 2	prepare_missing_values_graph(russell_3000, ts_id="period") prepare_missing_values_graph(russell_3000, ts_id="period", binary = TRUE)

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

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