In debruine/pipeline: Machine-Readable Studies

knitr::opts_chunk$set(echo = FALSE)
library(pipeline)

# set the path for your json file
json_path <- system.file("extdata", "iat.json", package = "pipeline")

# set the path for your data file; leave commented if no data exists
data_path <- system.file("extdata", "iat.csv", package = "pipeline")

if (exists("data_path")) {
  # run analyses from the json file on the data
  study <- pipeline(json_path, data_path)
} else {
  study <- jsonlite::read_json(json_path)
}

summary(study, "hypotheses", "analyses", "results")

debruine/pipeline documentation built on May 8, 2019, 8:59 a.m.