Summarise the output of the
Rprof function to show the amount of time used by different R functions.
summaryRprof(filename = "Rprof.out", chunksize = 5000, memory = c("none", "both", "tseries", "stats"), index = 2, diff = TRUE, exclude = NULL)
- Name of a file produced by
- Number of lines to read at a time.
- Summaries for memory information. See ‘Details’ below.
- How to summarize the stack trace for memory information. See ‘Details’ below.
TRUEmemory summaries use change in memory rather than current memory.
- Functions to exclude when summarizing the stack trace for memory summaries.
As the profiling output file could be larger than available memory, it is read in blocks of
chunksize lines. Increasing
chunksize will make the function run faster if sufficient memory is available.
memory = "none", a list with components
The first two components have columns self.time, self.pct, total.time and total.pct, the times in seconds and percentages of the total time spent executing code in that function and code in that function or called from that function, respectively.
memory = "both" the same list but with memory consumption in Mb in addition to the timings.
memory = "tseries" a data frame giving memory statistics over time
memory = "stats" a
by object giving memory statistics by function. Prior to R 2.15.3 an error was thrown if no events were recorded: now zero-row data frames are returned.
- A data frame of timings sorted by ‘self’ time.
- A data frame of timings sorted by ‘total’ time.
- The sampling interval.
- Total time of profiling run.
Options other than
memory = "none" apply only to files produced by
Rprof(memory.profiling = TRUE). When called with
memory.profiling = TRUE, the profiler writes information on three aspects of memory use: vector memory in small blocks on the R heap, vector memory in large blocks (from
malloc), memory in nodes on the R heap. It also records the number of calls to the internal function
duplicate in the time interval.
duplicate is called by C code when arguments need to be copied. Note that the profiler does not track which function actually allocated the memory.
memory = "both" the change in total memory (truncated at zero) is reported in addition to timing data.
memory = "tseries" or
memory = "stats" the
index argument specifies how to summarize the stack trace. A positive number specifies that many calls from the bottom of the stack; a negative number specifies the number of calls from the top of the stack. With
memory = "tseries" the index is used to construct labels and may be a vector to give multiple sets of labels. With
memory = "stats" the index must be a single number and specifies how to aggregate the data to the maximum and average of the memory statistics. With both
memory = "tseries" and
memory = "stats" the argument
diff = TRUE asks for summaries of the increase in memory use over the sampling interval and
diff = FALSE asks for the memory use at the end of the interval.
The chapter on “Tidying and profiling R code” in “Writing R Extensions” (see the ‘doc/manual’ subdirectory of the R source tree).
Rprofmem is a non-sampling memory-use profiler.
Documentation reproduced from R 2.15.3. License: GPL-2.