Multiple x13_both runs with code input from a data frame
Usage
x13_text_frame(
text_frame,
ts = NULL,
id = NULL,
...,
drop = TRUE,
verbose = FALSE,
dots2list = TRUE
)Arguments
- text_frame
Data frame where all variables are character. Column names are either parameter names or on the form function__parameter. The latter only when setting pre-processing parameters with functions from rjd3toolkit og rjd3x13. See examples. Each cell contains text with R code written as source code in a call to
x13_both. The parameter will be omitted when the cell is missing (NA). The exception is the column name,name, which contains the time series names. Without such a column, the names are taken from the row names.- ts
A named multiple time series object, given as a character string. When
NULL, the ts parameter must be included intext_frame.- id
To select specific time series to be processed (name or number).
- ...
Extra arguments that do not change.
- drop
Whether to omit list output when a single time series is specified by
id.- verbose
When
TRUE, function calls will be printed.- dots2list
A technical parameter. When
TRUEand when possible (warning when not), the underlying function,text_frame_apply, will be called viacall_listinstead of.... The advantage is prettier (unevaluated) printing whenverbose = TRUE.
Examples
myseries <- pickmdl_data("myseries")
seriesABC <- cbind(A = myseries, B = myseries + 10, C = myseries + 20)
tf <- data.frame(name = c("A", "B", "C"),automdl.enabled = c("TRUE", "FALSE", "FALSE"),
add_outlier__date = c('c("2009-01-01", "2016-01-01")', 'c("2009-01-01")', NA),
add_outlier__type = c('rep("LS", 2)', '"AO"', NA),
set_outlier__outliers.type = c(rep('c("LS","AO")',3)))
outABC <- x13_text_frame(tf, ts = "seriesABC", spec = "RSA3", set_transform__fun = "Log",
verbose = TRUE)
#> ---- id = A ----
#> x13_both(automdl.enabled = TRUE, add_outlier__date = c("2009-01-01",
#> "2016-01-01"), add_outlier__type = rep("LS", 2), set_outlier__outliers.type = c("LS",
#> "AO"), ts = seriesABC[, "A"], spec = "RSA3", set_transform__fun = "Log")
#>
#> ---- id = B ----
#> x13_both(automdl.enabled = FALSE, add_outlier__date = c("2009-01-01"),
#> add_outlier__type = "AO", set_outlier__outliers.type = c("LS",
#> "AO"), ts = seriesABC[, "B"], spec = "RSA3", set_transform__fun = "Log")
#>
#> ---- id = C ----
#> x13_both(automdl.enabled = FALSE, set_outlier__outliers.type = c("LS",
#> "AO"), ts = seriesABC[, "C"], spec = "RSA3", set_transform__fun = "Log")
#>
outB <- x13_text_frame(tf, ts = "seriesABC", spec = "RSA3", set_transform__fun = "Log",
id = "B")
identical(outABC[[2]], outB) # TRUE
#> [1] TRUE
# Spec can also be given as variable in the data frame
tf2 <- data.frame(name = c("A", "B", "C"),spec = '\"rsa3\"',
automdl.enabled = c("TRUE", "FALSE", "FALSE"),
add_outlier__date = c('c("2009-01-01", "2016-01-01")', 'c("2009-01-01")', NA),
add_outlier__type = c('rep("LS", 2)', '"AO"', NA),
set_outlier__outliers.type = c(rep('c("LS","AO")',3)))
outABC2 <- x13_text_frame(tf2, ts = "seriesABC",set_transform__fun = "Log",
verbose = TRUE)
#> ---- id = A ----
#> x13_both(spec = "rsa3", automdl.enabled = TRUE, add_outlier__date = c("2009-01-01",
#> "2016-01-01"), add_outlier__type = rep("LS", 2), set_outlier__outliers.type = c("LS",
#> "AO"), ts = seriesABC[, "A"], set_transform__fun = "Log")
#>
#> ---- id = B ----
#> x13_both(spec = "rsa3", automdl.enabled = FALSE, add_outlier__date = c("2009-01-01"),
#> add_outlier__type = "AO", set_outlier__outliers.type = c("LS",
#> "AO"), ts = seriesABC[, "B"], set_transform__fun = "Log")
#>
#> ---- id = C ----
#> x13_both(spec = "rsa3", automdl.enabled = FALSE, set_outlier__outliers.type = c("LS",
#> "AO"), ts = seriesABC[, "C"], set_transform__fun = "Log")
#>
identical(outABC, outABC2)
#> [1] TRUE
