`prepare_quantile_trend_graph.Rd`

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

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 )

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 |

points | Do you want points to indicate the statistics? Defaults to |

A list containing two items:

- "df"
A data frame containing the plotted quantiles

- "plot"
The plot as returned by

`ggplot`

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