create_colvec_byname | R Documentation |
This function takes data in the .dat
and creates column vectors.
create_colvec_byname(.dat, dimnames = NA, colname = NA)
.dat |
Data to be converted to column vectors. |
dimnames |
The dimension names to be used for creating the column vector, in a list format, or as a data frame column containing a list of the dimension names to be used for each observation. |
colname |
The name of the column of the colvector. |
The row and column names in the resulting column vector are taken from
the names of .dat
and colname
.
If set, dimnames
overrides the names of .dat
and colname
.
This function is a "byname" function that can accept a single number,
a vector, a list, or a data frame in .dat
.
Row types and column types are taken from the row type and column type attributes of .dat
.
A column vector, a list of column vectors, or a data frame column of column vectors, depending on the
value of .dat
.
# Works with single numbers create_colvec_byname(c(r1 = 1) %>% setrowtype("rt") %>% setcoltype("ct"), colname = "r1") # Works with vectors create_colvec_byname(c(r1 = 1, r2 = 2), colname = "c1") # Works with a list create_colvec_byname(list(c(r1 = 1, r2 = 2), c(R1 = 3, R2 = 4, R3 = 5)), colname = list("c1", "C1")) # Works in a tibble, too. # (Must be a tibble, not a data frame, so that names are preserved.) dat <- list(c(r1 = 1, r2 = 2), c(R1 = 2, R2 = 3), c(r1 = 1, r2 = 2, r3 = 3, r4 = 4, r5 = 5, r6 = 6)) cnms <- list("c1", "C1", "c1") df1 <- tibble::tibble(dat, cnms) df1 df1 <- df1 %>% dplyr::mutate( colvec_col = create_colvec_byname(dat, colname = cnms) ) df1$colvec_col[[1]] df1$colvec_col[[2]] df1$colvec_col[[3]]
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