Nothing
# Type URS-ID here.
URS_ID <- "chisq.test"
# If there are multiple datasets needed, number them by changing this line accordingly for each dataset.
nr_dataset <- 1
dat_list <- list()
# Put the data that you want to analyse with SAS here.
dat <- tibble(gender=c(rep("F",sum(c(762, 327, 468)) ), rep("M", sum( c(484, 239, 477)))),
party=c(rep("Democrat", 762), rep("Independent", 327), rep("Republican", 468),
rep("Democrat", 484), rep("Independent", 239), rep("Republican", 477)))
require(foreign)
require(here)
code_dir <- here::here(
"vignettes",
"validation_report",
URS_ID)
code_path <-
paste0(code_dir, "/", URS_ID, "_sas_example_", nr_dataset, ".sas")
dir.create(code_dir)
file.create(code_path)
codefile_con <- file(code_path, open = "r+")
foreign::write.foreign(
df = dat,
datafile = here::here(
"vignettes",
"validation_report",
URS_ID,
paste0(URS_ID, "_dat_", nr_dataset, ".csv")
),
codefile = codefile_con,
package = "SAS"
)
append_txt <- c(
"",
"ods graphics off;",
paste0('ods html file="', URS_ID, '_example_', nr_dataset, '.html" path=".";'),
"",
"PROC UNIVARIATE data=rdata;",
"VAR diff;",
"RUN;",
"",
"/* Type the SAS example you want to calculate here, e.g.: */",
"/*proc reg data=rdata;*/",
"/* model effect = group;*/",
"/*run;*/",
"",
"ods html close;"
)
write(append_txt, codefile_con, append = T)
close(codefile_con)
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