select_rows_byname | R Documentation |
Arguments indicate which rows are to be retained and which are to be removed. For maximum flexibility, arguments are extended regex patterns that are matched against row names.
select_rows_byname(
a,
retain_pattern = "$^",
remove_pattern = "$^",
ignore.case = FALSE,
perl = FALSE,
fixed = FALSE,
useBytes = FALSE
)
a |
A matrix or a list of matrices. |
retain_pattern |
An extended regex or list of extended regular expressions that specifies which rows of |
remove_pattern |
An extended regex or list of extended regular expressions that specifies which rows of |
ignore.case , perl , fixed , useBytes |
Arguments passed to |
If a
is NULL
, NULL
is returned.
Patterns are compared against row names using extended regex.
If no row names of a
match the retain_pattern
, NULL
is returned.
If no row names of a
match the remove_pattern
, m
is returned.
Note that the default retain_pattern
and remove_pattern
("$^")
retain nothing and remove nothing.
Retaining rows takes precedence over removing rows, always.
Some typical patterns are:
"^Electricity$|^Oil$": row names that are EXACTLY "Electricity" or EXACTLY "Oil".
"^Electricity|^Oil": row names that START WITH "Electricity" or START WITH "Oil".
"Electricity|Oil": row names that CONTAIN "Electricity" or CONTAIN "Oil" anywhere within them.
Given a list of row names, a pattern can be constructed easily using RCLabels::make_or_pattern()
.
RCLabels::make_or_pattern()
escapes regex strings using Hmisc::escapeRegex()
.
This function assumes that retain_pattern
and remove_pattern
have already been
suitably escaped.
If the row or column labels contain "[" or "]",
care should be taken to escape those characters.
Hmisc::escapeRegex()
is helpful in such situations.
Note that if all rows are removed from a
, NULL
is returned.
A matrix that is a subset of m
with rows selected by retain_pattern
and remove_pattern
.
m <- matrix(1:16, ncol = 4, dimnames = list(c(paste0("i", 1:4)), paste0("p", 1:4))) %>%
setrowtype("Industries") %>% setcoltype("Commodities")
select_rows_byname(m,
retain_pattern = RCLabels::make_or_pattern(c("i1", "i4"),
pattern_type = "exact"))
select_rows_byname(m,
remove_pattern = RCLabels::make_or_pattern(c("i1", "i3"),
pattern_type = "exact"))
# Also works for lists and data frames
select_rows_byname(list(m, m), retain_pattern = "^i1$|^i4$")
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