analyse_describe {SimNPH} | R Documentation |
Create a Function for Descriptive Statistics of a Dataset
Description
Create a Function for Descriptive Statistics of a Dataset
Usage
analyse_describe()
summarise_describe(name = NULL)
Arguments
name |
name for the summarise function, appended to the name of the analysis method in the final results |
Value
an analyse function that returns a list with the elements
-
followup
follow up time -
events
table of events vs. treatment -
ice
if column ice is present, table of intercurrent events, events, treatment -
subgroup
if column subgroup is present, table of subgroup, events, treatment
A function that can be used in Summarise that returns a data frame with columns with means and standard deviations for every variable in the description.
Functions
-
summarise_describe()
: Summarise Descriptive Statistics
Examples
condition <- merge(
assumptions_delayed_effect(),
design_fixed_followup(),
by=NULL
) |>
head(1)
dat <- generate_delayed_effect(condition)
analyse_describe()(condition, dat)
condition <- merge(
assumptions_delayed_effect(),
design_fixed_followup(),
by=NULL
) |>
tail(4) |>
head(1)
summarise_all <- create_summarise_function(
describe=summarise_describe()
)
# runs simulations
sim_results <- runSimulation(
design=condition,
replications=100,
generate=generate_delayed_effect,
analyse=list(
describe=analyse_describe()
),
summarise = summarise_all
)
# study time is missing, since there was no admin. censoring
sim_results[, 9:16]
[Package SimNPH version 0.5.5 Index]