MNG01 Mean Plot Graph.

Usage

mng01_main(
  adam_db,
  dataset = "adlb",
  x_var = "AVISIT",
  y_var = "AVAL",
  y_name = "PARAM",
  y_unit = NULL,
  arm_var = "ACTARM",
  center_fun = "mean",
  interval_fun = "mean_ci",
  jitter = 0.3,
  line_col = nestcolor::color_palette(),
  ggtheme = gg_theme_chevron(),
  table = c("n", center_fun, interval_fun),
  ...
)

mng01_pre(adam_db, dataset, x_var = "AVISIT", ...)

mng01

Format

An object of class chevron_g of length 1.

Arguments

adam_db

(list of data.frames) object containing the ADaM datasets

dataset

(string) the name of a table in the adam_db object.

x_var

(string) the name of a column in the dataset to represent on the x-axis.

y_var

(string) the name of the variable to be represented on the y-axis.

y_name

(string) the variable name for y. Used for plot's subtitle.

y_unit

(string) the name of the variable with the units of y. Used for plot's subtitle. if NULL, only y_name is displayed as subtitle.

arm_var

(string) variable used for column splitting

center_fun

(string) the function to compute the estimate value.

interval_fun

(string) the function defining the crossbar range. If NULL, no crossbar is displayed.

jitter

(numeric) the width of spread for data points on the x-axis; a number from 0 (no jitter) to 1 (high jitter), with a default of 0.3 (slight jitter).

line_col

(character) describing the colors to use for the lines or a named character associating values of arm_var with color names.

ggtheme

(theme) passed to tern::g_lineplot().

table

(character) names of the statistics to be displayed in the table. If NULL, no table is displayed.

...

passed to tern::g_lineplot().

Value

the main function returns a list of ggplot objects.

a list of ggplot objects.

the preprocessing function returns a list of data.frame.

Details

• No overall value.

• Preprocessing filters for ANL01FL in the selected data set.

Functions

• mng01_main(): Main TLG Function

• mng01_pre(): Preprocessing

Note

• adam_db object must contain the table specified by dataset with the columns specified by x_var, y_var, y_name, y_unit and arm_var.

See also

Examples

col <- c(
  "A: Drug X" = "black",
  "B: Placebo" = "blue",
  "C: Combination" = "gray"
)

run(mng01, syn_data, dataset = "adlb", x_var = c("AVISIT", "AVISITN"), line_col = col)
#> $`Alanine Aminotransferase Measurement`

#> 
#> $`C-Reactive Protein Measurement`

#> 
#> $`Immunoglobulin A Measurement`

#>