Plot DV versus time

Usage

dv_time(
  df,
  x = pm_axis_time(),
  y = pm_axis_dv(),
  xunit = opts$time.unit,
  yname = "DV",
  group = pm_col_id(),
  xs = list(),
  ys = list(),
  log = FALSE,
  xby = NULL,
  ...
)

dv_tafd(df, x = pm_axis_tafd(), ...)

dv_tad(df, x = pm_axis_tad(), ...)

Arguments

df: data frame to plot
x: character name for x-axis data
y: character name for y-axis data
xunit: time units; used to form x-axis label
yname: used to form y-axis label
group: passed to scatt
xs: see defx
ys: see defy
log: if TRUE, y-axis will be log-transformed
xby: interval for x-axis breaks
...: passed to scatt

Value

A single plot.

Details

Plots are generated using y_time, which then calls scatt.

Since this function creates a scatter plot, both the x and y columns must be numeric.

If the data set includes a BLQ column, the values in the y column are set to NA when BLQ is not equal to 0.

Examples

df <- pmplots_data_obs()

dv_time(df, yname="MyDrug (ng/mL)")


dv_time(df, yname="MyDrug (ng/mL)", xunit="day")



# Add a rug

df <- pmplots_data()

dv_time(df) + geom_rug(data = ~ dplyr::filter(.x,BLQ > 0))
#> Warning: Removed 68 rows containing missing values or values outside the scale range
#> (`geom_point()`).
#> Warning: Removed 68 rows containing missing values or values outside the scale range
#> (`geom_line()`).
#> Warning: Removed 68 rows containing missing values or values outside the scale range
#> (`geom_rug()`).