reappraised (version 0.1.1)

final_digit_fn: Compares proportions of final digits from summary statistics

Description

Creates graph of proportion of final digits for summary statistics of specified variables

Usage

final_digit_fn(
  df = generic_data,
  vars = "",
  dec.pl = "no",
  dec.pl.vars = "",
  title = "",
  verbose = TRUE
)

Value

list containing 5 objects as described

• digit_graph = plot of proportions of final digits

• digit_ft = flextable of results

• digit_table = data frame of results

• digit_dataset = data frame of data set used to generate results data

• digit_data = results of analyses used to generate results data

Arguments

df

data frame generated from load_clean function

vars

vector of the summary statistics to be used

dec.pl

"yes" or "no" indicator whether columns for decimal places are included (yes) or should be calculated (no)

dec.pl.vars

vector of the names of the columns for decimal places for each statistics

title

title name for plots (optional)

verbose

TRUE or FALSE indicates whether print plot

Details

This approach is still in development and needs validation and discussion about its place in integrity assessment.

Requires data frame containing columns for study, variable (named var), summary statistic(s) (named with single letter eg m or s), and optional columns for decimal places for each statistic (named dp_* eg dp_m, dp_s). Data can be imported using the generic option of load_clean function

Returns a list containing 5 objects and prints the plot digit_graph

Examples

# load example data
generic_data <- load_clean(import= "no", file.cont = "SI_pvals_cont", generic= "yes",
gen.vars.del = c("p"), format.cont = "wide")$generic_data

# \donttest{
# run function (takes only a few seconds)
final_digit_fn(vars = c("m","s"), dec.pl = "n")$digit_graph

# to import an excel spreadsheet (modify using local path,
# file and sheet name, range, and format):

# get path for example files
path <- system.file("extdata", "reappraised_examples.xlsx", package = "reappraised",
                    mustWork = TRUE)
# delete file name from path
path <- sub("/[^/]+$", "", path)

# load data
generic_data <- load_clean(import= "yes", generic = "yes", dir = path,
    file.name.cont = "reappraised_examples.xlsx", sheet.name.cont = "SI_pvals_cont",
    range.name.cont = "A1:O51", gen.vars.del = c("p"),
    format.cont = "wide")$generic_data# }