Is there a way to output the result of a pipeline at each step without doing it manually? (eg. without selecting and running only the selected chunks)
I often find myself running a pipeline line-by-line to remember what it was doing or when I am developing some analysis.
For example:
library(dplyr)
mtcars %>%
group_by(cyl) %>%
sample_frac(0.1) %>%
summarise(res = mean(mpg))
# Source: local data frame [3 x 2]
#
# cyl res
# 1 4 33.9
# 2 6 18.1
# 3 8 18.7
I'd to select and run:
mtcars %>% group_by(cyl)
and then...
mtcars %>% group_by(cyl) %>% sample_frac(0.1)
and so on...
But selecting and CMD/CTRL
+ENTER
in RStudio
leaves a more efficient method to be desired.
Can this be done in code?
Is there a function which takes a pipeline and runs/digests it line by line showing output at each step in the console and you continue by pressing enter like in demos(...)
or examples(...)
of package guides
©Speedup: Unpipelined/pipelined = # pipelined stages ©Thus pipelined time in general: 23 Number of pipe stage Time per instruction on unpipeline d machine Pipeline Performance (2/2) 24 Pipeline Hazards ©Hazards prevent the next instruction in the instruction steam from executing during its designated clock cycle
Pipelining Performance (1/2) ©Pipelining increases throughput, not reduce the execution time of an individual instruction. uIn face, slightly increases the execution time (an instruction) due to overhead in the control of the pipeline. uPractical depth of a pipeline is limited by increasing execution time.
For the than the stalled instruction—and hence not as far along in the pipeline—are also stalled. must cont inue, since otherwise the hazard will never clear. As a result, no new instructions are fetched during the stall. A stall causes the pipeline performance to degrade from the ideal performance.
©Can’t happen in 5-stage pipeline because: uAll instructions take 5 stages, and uReads are always in stage 2, and uWrites are always in stage 5
You can select which results to print by using the tee-operator (%T>%
) and print()
. The tee-operator is used exclusively for side-effects like printing.
# i.e.
mtcars %>%
group_by(cyl) %T>% print() %>%
sample_frac(0.1) %T>% print() %>%
summarise(res = mean(mpg))
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With