knitr::opts_chunk$set( collapse = TRUE, dpi=200, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
A package for analysing Argentina's Science and technology system (CYT)
Install the R package using the following commands on the R console:
# install.packages("devtools") devtools::install()
First add variable with your preferred configurations in ~/.Renviron
.
CYTAR_data_dir = "~/.R/CYTAR/"
library(CYTAR) library(ggplot2) library(lgr)
opendata From Ministerio de Ciencia de la Nación Argentina
log.dir <- file.path(getEnv("data_dir"), "logs") dir.create(log.dir, recursive = TRUE, showWarnings = FALSE) log.file <- file.path(log.dir, "cytar.log") lgr::get_logger("root")$add_appender(AppenderFile$new(log.file)) lgr::threshold("info", lgr::get_logger("root")) lgr::threshold("info", lgr::get_logger("CYTARPersonal")) personas <- CYTARPersonas$new() self <- personas personas$loadData() nrow(personas$data) personas.2018 <- CYTARPersonas2018$new() self <- personas.2018 personas.2018$loadData() nrow(personas.2018$data) personas.2018$consolidate() nrow(personas.2018$consolidated) names(personas.2018$consolidated)
library(dplyr) library(readr) producciones <- CYTARProducciones$new() self <- producciones producciones$configAll() producciones$loadAll() names(producciones$producciones.years) personas.selected <- personas$data %>% filter(grepl("kornblihtt", apellido, ignore.case = TRUE)) personas.selected producciones.personas <- producciones$getProduccionesPersonas(personas.df = personas.selected) write_csv(producciones.personas, file = file.path(getDataDir(), "producciones_kornblihtt.csv")) producciones.personas %>% group_by(persona_id, nombre, apellido, edad) %>% summarize( min_anio = min(anio_publica, na.rm = TRUE), max_anio = max(anio_publica, na.rm = TRUE), n = n() )
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