naniste / tsheatmap

Creating heatmaps of yearly timeseries data for pattern visualisation of calendar related data.

tsheatmap

Creating heatmaps of yearly timeseries data for pattern visualisation of calendar related data.

Use a data.frame with a column with POSIXct datetime series and some numerical data.

Output

Standard Output of tsheatmap is a plotly plot and can be changed to ggplot with the argument ggplot = T.

Arguments & Arguments Defaults:

• data

  • Data.frame with at least a column of POSIXct values and a numeric data column

• data_colname = NULL

  • The column name of the data.frame which holds the data.

• tzone = "UTC"

  • Set the timezone you would the data like to be plotted.

• datetime_colname = "Datetime"

  • Set the column name of the data.frame which holds the datetime information.

• z_limits = NULL

  • Set upper and lower limits of the data column which will be used in scaling the colorbar / legend.

• x_label = "ISO week"

  • Set label of the x-axis

• y_label = "Day of the week"

  • Set label of the y-Axis

• LegendTitle = ""

  • Set a legend title.

• na.value.col = "red"

  • Color of tiles which have NA as value.

• ggplot = FALSE

  • Change function output from plotly plot to ggplot.

More detailed introduction coming soon.