3.15 Pipes: Tee Pipe Intermediate Results
20210103 A use of the tee-pipe that can come in handy is to
base::assign() intermediate results into a variable without
breaking the main flow of the pipeline. The variable tmp
in
the following tee-pipe is assigned to within the
base::globalenv() so that we can access it from anywhere in
the R session.
%>%
ds select(rainfall, min_temp, max_temp, sunshine) %>%
filter(rainfall==0) %T>%
assign("tmp", ., globalenv())} %>%
{select(min_temp, max_temp, sunshine) %>%
summary()
## min_temp max_temp sunshine
## Min. :-8.7 Min. :-2.1 Min. : 0.00
## 1st Qu.: 7.4 1st Qu.:19.7 1st Qu.: 6.90
## Median :12.1 Median :24.5 Median : 9.70
## Mean :12.1 Mean :24.9 Mean : 8.72
## 3rd Qu.:16.9 3rd Qu.:29.9 3rd Qu.:11.10
## Max. :33.9 Max. :48.9 Max. :14.50
## NA's :567 NA's :614 NA's :66012
We can now access the variable tmp
:
print(tmp)
## # A tibble: 121,167 x 4
## rainfall min_temp max_temp sunshine
## <dbl> <dbl> <dbl> <dbl>
## 1 0 7.4 25.1 NA
## 2 0 12.9 25.7 NA
## 3 0 9.2 28 NA
## 4 0 14.3 25 NA
## 5 0 7.7 26.7 NA
## 6 0 9.7 31.9 NA
## 7 0 13.4 30.4 NA
## 8 0 8.4 24.6 NA
## 9 0 14.1 20.9 NA
## 10 0 9.8 25.6 NA
## # … with 121,157 more rows
Notice the use of the curly braces for the first path of the
tee-pipe. This allows us to reference the data from the pipeline as
the period (.
).
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