README.md

In NanisTe/tsheatmap: Plot a calendaric heatmap of data frame with a POSIXct column and a Data cloumn

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.

NanisTe/tsheatmap documentation built on Jan. 29, 2020, 8:02 p.m.