mrgsims_dplyr: Methods for handling output with dplyr verbs

In mrgsolve: Simulate from ODE-Based Models

Methods for handling output with dplyr verbs

Description

These methods modify the data in a mrgsims object and return a data frame. Contrast with the functions in mrgsims_modify.

Usage

## S3 method for class 'mrgsims'
pull(.data, ...)

## S3 method for class 'mrgsims'
filter(.data, ...)

## S3 method for class 'mrgsims'
group_by(.data, ..., add = FALSE, .add = FALSE)

## S3 method for class 'mrgsims'
distinct(.data, ..., .keep_all = FALSE)

## S3 method for class 'mrgsims'
mutate(.data, ...)

## S3 method for class 'each'
summarise(.data, funs, ...)

## S3 method for class 'mrgsims'
summarise(.data, ...)

## S3 method for class 'mrgsims'
do(.data, ..., .dots)

## S3 method for class 'mrgsims'
select(.data, ...)

## S3 method for class 'mrgsims'
slice(.data, ...)

as_data_frame.mrgsims(x, ...)

## S3 method for class 'mrgsims'
as_tibble(x, ...)

as.tbl.mrgsims(x, ...)

Arguments

.data	an mrgsims object; passed to various dplyr functions
...	passed to other methods
add	passed to dplyr::group_by (for dplyr < ⁠1.0.0⁠)
.add	passed to dplyr::group_by (for dplyr >= ⁠1.0.0⁠)
.keep_all	passed to dplyr::distinct
funs	passed to dplyr::summarise_each
.dots	passed to various dplyr functions
x	mrgsims object.

Details

For the select_sims function, the dots ... must be either compartment names or variables in ⁠$CAPTURE⁠. An error will be generated if no valid names are selected or the names for selection are not found in the simulated output.

See Also

mrgsims_modify

Examples

out <- mrgsim(house(), events = ev(amt = 100), end = 5, delta=1)

dplyr::filter(out, time==2)

dplyr::mutate(out, label = "abc")

dplyr::select(out, time, RESP, CP)

mrgsolve documentation built on Aug. 16, 2023, 5:07 p.m.