Draws a Timeseries Scatterplot
Usage
draw_timeseries_scatterplot(
data,
y_var,
grouping_var_1,
grouping_var_1_type = "date-time",
grouping_var_2,
faceting = FALSE,
limits = FALSE,
date_breaks = "1 month",
date_labels = "%b %y",
analysis_desc_label = NULL,
x_axis_text_size = 11,
point_size = 1,
alpha = 0.3,
line_size = 1,
interactive = TRUE
)Arguments
- data
input dataset to be plotted (required)
- y_var
Y variable to be plotted on Y axis (required)
- grouping_var_1
Time variable to be plotted on x axis (required)
- grouping_var_1_type
Time variable type. Options are "date-time" or "factor"
- grouping_var_2
Additional variable for faceting (optional)
- faceting
Set whether to display each group in a separate plot. By default, it is set to FALSE (optional)
- limits
Logical. If TRUE, process behavior chart control limits for the individual group means are plotted. By default, it is set to FALSE (optional)
- date_breaks
Set date breaks. Takes a string, for example "1 week" or "2 days". By default, it is set to "1 month" (optional)
- date_labels
Set date labels. Identical to the date labels argument of the scale_x_date() ggplot function (optional)
- analysis_desc_label
Label (subtitle) for analysis description. By default, it is set to NULL (optional)
- x_axis_text_size
X axis text size. By default, it is set to 11. (optional)
- point_size
Set point size. By default, it is set to 1 (optional)
- alpha
Set transparency for individual observations. Identical to the alpha ggplot argument. By default, it is set to 0.3 (optional)
- line_size
Set line size. By default, it is set to 1 (optional)
- interactive
Set plot interactivity. By default, it is set to TRUE (optional)
Examples
timeseries_scatterplot_data %>%
draw_timeseries_scatterplot(y_var = y,
grouping_var_1 = date,
grouping_var_2 = cavity,
faceting = TRUE,
limits = TRUE,
alpha = 0.15,
line_size = 0.5,
x_axis_text = 7,
interactive = FALSE)
#> Joining, by = c("date", "cavity")
#> Warning: Removed 6 rows containing missing values (`geom_point()`).
