## ----include = FALSE---------------------------------------------------------- options(rmarkdown.html_vignette.check_title = FALSE) knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----include = FALSE---------------------------------------------------------- htmltables = TRUE if(htmltables){ source("GaussKable.R") P = function(...) G(fun = SuppressSmallCounts, timevar = "geo", ...) } else { P = function(...) cat("Formatted table not avalable") } ## ----------------------------------------------------------------------------- library(GaussSuppression) dataset <- SSBtoolsData("example1") dataset_a <- dataset[dataset$year == "2014", -4] dataset_b <- dataset[dataset$year == "2015", -4] dataset_a ## ----------------------------------------------------------------------------- SuppressSmallCounts(data = dataset_a, dimVar = c("age", "geo"), freqVar = "freq", maxN = 1) ## ----echo=FALSE--------------------------------------------------------------- P(data = dataset_a, # caption = "Table 1", dimVar = c("age", "geo"), freqVar = "freq", maxN = 1) ## ----------------------------------------------------------------------------- microdata_a <- SSBtools::MakeMicro(dataset_a, "freq")[-4] output <- SuppressSmallCounts(data = microdata_a, dimVar = c("age", "geo"), maxN = 1) ## ----------------------------------------------------------------------------- SuppressSmallCounts(data = dataset_a, dimVar = c("age", "geo", "eu"), freqVar = "freq", maxN = 2) ## ----echo=FALSE--------------------------------------------------------------- P(data = dataset_a, # caption = "Table 2", dimVar = c("age", "geo", "eu"), freqVar = "freq", maxN = 2) ## ----------------------------------------------------------------------------- dimlists <- SSBtools::FindDimLists(dataset_a[c("age", "geo", "eu")]) dimlists ## ----eval=FALSE--------------------------------------------------------------- # SuppressSmallCounts(data = dataset_a[c("age", "geo", "freq")], # hierarchies = dimlists, # freqVar = "freq", # maxN = 2) ## ----------------------------------------------------------------------------- SuppressSmallCounts(data = dataset_a, formula = ~age:eu + geo, freqVar = "freq", maxN = 2) ## ----echo=FALSE--------------------------------------------------------------- P(data = dataset_a, # caption = "Table 3", formula = ~age:eu + geo, freqVar = "freq", maxN = 2) ## ----------------------------------------------------------------------------- SuppressSmallCounts(data = dataset_a, dimVar = c("age", "geo", "eu"), freqVar = "freq", maxN = 4, protectZeros = FALSE) ## ----echo=FALSE--------------------------------------------------------------- P(data = dataset_a, # caption = "Table 4", dimVar = c("age", "geo", "eu"), freqVar = "freq", maxN = 4, protectZeros = FALSE) ## ----------------------------------------------------------------------------- output <- SuppressSmallCounts(data = dataset_a[-3, ], dimVar = c("age", "geo", "eu"), freqVar = "freq", maxN = 4, extend0 = FALSE, structuralEmpty = TRUE) ## ----------------------------------------------------------------------------- SuppressSmallCounts(data = dataset_a, dimVar = c("age", "geo", "eu"), freqVar = "freq", maxN = 3, protectZeros = FALSE, secondaryZeros = TRUE) ## ----echo=FALSE--------------------------------------------------------------- P(data = dataset_a, # caption = "Table 5", dimVar = c("age", "geo", "eu"), freqVar = "freq", maxN = 3, protectZeros = FALSE, secondaryZeros = TRUE) ## ----------------------------------------------------------------------------- dataset_b ## ----------------------------------------------------------------------------- SuppressSmallCounts(data = dataset_b[-2, ], dimVar = c("age", "geo", "eu"), freqVar = "freq", maxN = 2, extend0 = FALSE, structuralEmpty = TRUE) ## ----echo=FALSE--------------------------------------------------------------- P(data = dataset_b[-2, ], # caption = "Table 6", dimVar = c("age", "geo", "eu"), freqVar = "freq", maxN = 2, extend0 = FALSE, structuralEmpty = TRUE) ## ----eval = FALSE------------------------------------------------------------- # SuppressSmallCounts(data = dataset_b[-2, ], # formula = ~age * (geo + eu), # freqVar = "freq", # maxN = 2, # extend0 = FALSE, # structuralEmpty = TRUE, # removeEmpty = FALSE) ## ----------------------------------------------------------------------------- SuppressSmallCounts(data = dataset_b, dimVar = c("age", "geo", "eu"), freqVar = "freq", maxN = 2) ## ----echo=FALSE--------------------------------------------------------------- P(data = dataset_b, # caption = "Table 7", dimVar = c("age", "geo", "eu"), freqVar = "freq", maxN = 2) ## ----------------------------------------------------------------------------- output <- SuppressSmallCounts(data = dataset, formula = ~age*geo*year + eu*year, freqVar = "freq", maxN = 1, protectZeros = FALSE) head(output) ## ----echo=FALSE--------------------------------------------------------------- P(data = dataset, # caption = "Table 8", formula = ~age*geo*year + eu*year, freqVar = "freq", maxN = 1, protectZeros = FALSE)