format_data_PPBstats.data_organo_hedonic
R/plot.data_organo_hedonic.R
plot.data_organo_hedonic.Rd
plot.data_hedonic
gets ggplot to describe the data
# S3 method for data_organo_hedonic plot(x, plot_type = "boxplot", x_axis = NULL, in_col = NULL, vec_variables = NULL, nb_parameters_per_plot_x_axis = 5, nb_parameters_per_plot_in_col = 5, labels_on = NULL, labels_size = 4, pie_size = 0.2, zoom = 6, ...)
x | The data frame coming from |
---|---|
plot_type | the type of plot you wish. It can be :
|
x_axis | factor displayed on the x.axis of a plot. "date_julian" can be choosen: it will display julian day for a given variable automatically calculated from format_data_PPBstats(). This is possible only for plot_type = "histogramm", "barplot", "boxplot" and "interaction". |
in_col | factor displayed in color of a plot |
vec_variables | vector of variables to display |
nb_parameters_per_plot_x_axis | the number of parameters per plot on x_axis arguments |
nb_parameters_per_plot_in_col | the number of parameters per plot for in_col arguments |
labels_on | factor to display for plot_type = "biplot" |
labels_size | size of the label for plot_type = "biplot" and "radar" |
pie_size | when plot_type = "map" and vec_variables is not NULL, size of the pie |
zoom | zoom of the map, see ?get_map for more details |
... | further arguments passed to or from other methods |
For plot_type "histogramm", "barplot", "boxplot" or "interaction", the function returns a list with ggplot objects for each variable of vec_variables.
For plot_type "biplot", the function returns a list with ggplot objects for each pairs of variables of vec_variables.
For plot_type "radar" and "raster, the function returns a list with ggplot objects with all variables of vec_variables.
For plot_type "map", it returns a map with location if vec_variables = NULL and labels_on = "location". If vec_variables is not NULL, it displays pie on map.
Each list is divided in several lists according to values of nb_parameters_per_plot_x_axis and nb_parameters_per_plot_in_col except for plot_type = "map".
See the book for more details : https://priviere.github.io/PPBstats_book/hedonic.html#describe-the-data-2