View source: R/sp_reduce_dims.R
sp_format | R Documentation |
Change the result of dimension reduction to be directly usable in rtauargus
sp_format(res, dfs_name, sep, totcode, hrcfiles)
res |
result of variable merging composed of name_non_changed_vars, a list of lists of tables, a list of hierarchical files, a list of subtotals associated with these files, and a list of vectors of variables or a vector of variables depending on the base size of the dataframes |
dfs_name |
the name of the entered dataframes |
sep |
character |
totcode |
character named vector |
hrcfiles |
character named vector |
A list containing:
tabs
: named list of 3-dimensional dataframes
with nested hierarchies
alt_hrc
: named list of hrc specific to the variables
created during merging to go to dimension 3
alt_totcode
: named list of totals specific to the variables
created during merging to go to dimension 3
vars
: categorical variables of the output dataframes
sep
: separator used to link the variables
totcode
: named vector of totals for all categorical variables
hrcfiles
: named vector of hrc for categorical variables
(except the merged one)
fus_vars
: named vector of vectors representing the merged
variables during dimension reduction
library(dplyr)
data <- expand.grid(
ACT = c("Total", "A", "B", "A1", "A2", "B1", "B2"),
GEO = c("Total", "G1", "G2"),
SEX = c("Total", "F", "M"),
AGE = c("Total", "AGE1", "AGE2"),
stringsAsFactors = FALSE
) %>%
as.data.frame()
data <- data %>% mutate(VALUE = 1)
hrc_act <- "hrc_ACT.hrc"
sdcHierarchies::hier_create(root = "Total", nodes = c("A","B")) %>%
sdcHierarchies::hier_add(root = "A", nodes = c("A1","A2")) %>%
sdcHierarchies::hier_add(root = "B", nodes = c("B1","B2")) %>%
sdcHierarchies::hier_convert(as = "argus") %>%
slice(-1) %>%
mutate(levels = substring(paste0(level,name),3)) %>%
select(levels) %>%
write.table(file = hrc_act, row.names = FALSE, col.names = FALSE, quote = FALSE)
# Results of the function
res1 <- from_4_to_3(
dfs = data,
dfs_name = "tab",
totcode = c(SEX = "Total", AGE = "Total", GEO = "Total", ACT = "Total"),
hrcfiles = c(ACT = hrc_act),
sep_dir = TRUE,
hrc_dir = "output"
)
res <- sp_format(res1,
dfs_name = "tab",
sep = "_",
totcode = c(SEX="Total",AGE="Total",
GEO="Total", ACT="Total"),
hrcfiles = c(ACT = hrc_act)
)
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