Proportions — pamlprop • pamlj

Power analysis for tests on one or two proportions: estimate required sample size, power, or minimum detectable difference.

pamlprop(
  aim = "n",
  mode = "propind",
  propind_p1 = 0.6,
  propind_p2 = 0.5,
  propind_n = 20,
  propind_nratio = 1,
  propone_p1 = 0.6,
  propone_p2 = 0.5,
  propone_n = 50,
  proppaired_p1 = 0.1,
  proppaired_p2 = 0.4,
  proppaired_n = 20,
  power = 0.9,
  sig.level = 0.05,
  alternative = "two.sided",
  plot_contour = FALSE,
  plot_escurve = FALSE,
  plot_ncurve = FALSE,
  plot_log = TRUE,
  plot_palette = "viridis",
  plot_x = "none",
  plot_y = "none",
  plot_custom_labels = FALSE,
  plot_z = "none",
  plot_x_from = 0,
  plot_x_to = 0,
  plot_z_lines = 0,
  plot_z_value = list(),
  plot_to_table = FALSE,
  es_type = "odd",
  explain = FALSE,
  .interface = "jamovi",
  .caller = "proportions"
)

Arguments

aim: .
mode: .
propind_p1: .
propind_p2: .
propind_n: .
propind_nratio: .
propone_p1: .
propone_p2: .
propone_n: .
proppaired_p1: .
proppaired_p2: .
proppaired_n: .
power: .
sig.level: .
alternative: .
plot_contour: .
plot_escurve: .
plot_ncurve: .
plot_log: .
plot_palette: .
plot_x: .
plot_y: .
plot_custom_labels: .
plot_z: .
plot_x_from: .
plot_x_to: .
plot_z_lines: .
plot_z_value: .
plot_to_table: .
es_type: .
explain: add an additional description of the analysis carried out
.interface: Used for internal purposes
.caller: .

Value

A results object containing:

`results$intro`					a html
`results$issues`					a html
`results$extrainfo`					a html
`results$powertab`					a table
`results$powerbyes`					a table
`results$plotnotes`					a html
`results$powerContour`					an image
`results$powerEscurve`					an image
`results$powerNcurve`					an image
`results$powerCustom`					an image
`results$customnotes`					a html
`results$customtable`					a table

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$powertab$asDF

as.data.frame(results$powertab)