I have data with rows and columns similar to the below example and want to basically convert every other row into a column. However, I also want to extract each specific observation and put that result into the corresponding column. So I would take:
X1 x y xx xy yy
ci.lo1 0 0 0 0 0 -19350.63073
ci.up1 0 0 0 0 0 104.23538
ci.lo2 0 0 0 0 0 -8740.25544
ci.up2 0 0 0 0 0 52.97149
and trying to turn it into:
X1.lo X1.up x.lo x.up y.lo y.up xx.lo xx.up xy.lo xy.up yy.lo yy.up
1 0 0 0 0 0 0 0 0 0 0 -19350.63073 104.23538
2 0 0 0 0 0 0 0 0 0 0 -8740.25544 52.97149
I was wondering if it was possible to do this type of conversion in tidy
, if not in base R
as well.
Thanks in advance.
data %>%
rownames_to_column() %>%
mutate(rowname2=sub("^ci\\.(.*)\\d$","\\1",rowname),
rowname =sub("[^0-9]+","", rowname)) %>%
pivot_wider(names_from = rowname2,
values_from = -c(rowname2, rowname),
id_cols = rowname,
names_sep = ".") %>%
column_to_rownames()
X1.lo X1.up x.lo x.up y.lo y.up xx.lo xx.up xy.lo xy.up yy.lo yy.up
1 0 0 0 0 0 0 0 0 0 0 -19350.631 104.23538
2 0 0 0 0 0 0 0 0 0 0 -8740.255 52.97149