Merge labelled data frames
Merges (full join) data frames and preserve value and variable labels.
add_rows(..., id = NULL) merge_df(..., id = NULL)
... |
Two or more data frames to be merged. |
id |
Optional name for ID column that will be created to indicate the source data frames for appended rows. |
This function works like dplyr::bind_rows(), but preserves
variable and value label attributes. add_rows() row-binds all data
frames in ..., even if these have different numbers of columns.
Non-matching columns will be column-bound and filled with NA-values
for rows in those data frames that do not have this column.
Value and variable labels are preserved. If matching columns have
different value label attributes, attributes from first data frame
will be used.
merge_df() is an alias for add_rows().
A full joined data frame.
library(dplyr) data(efc) x1 <- efc %>% select(1:5) %>% slice(1:10) x2 <- efc %>% select(3:7) %>% slice(11:20) mydf <- add_rows(x1, x2) mydf str(mydf) ## Not run: library(sjPlot) view_df(mydf) ## End(Not run) x3 <- efc %>% select(5:9) %>% slice(21:30) x4 <- efc %>% select(11:14) %>% slice(31:40) mydf <- add_rows(x1, x2, x3, x4, id = "subsets") mydf str(mydf)
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