summaryRprof {utils} | R Documentation

## Summarise Output of R Sampling Profiler

### Description

Summarise the output of the `Rprof` function to show the amount of time used by different R functions.

### Usage

    summaryRprof(filename = "Rprof.out", chunksize = 5000,
                  memory = c("none", "both", "tseries", "stats"),
                  lines = c("hide", "show", "both"),
                  index = 2, diff = TRUE, exclude = NULL,
                  basenames = 1)

### Arguments

`filename` | Name of a file produced by `Rprof()`.
`chunksize` | Number of lines to read at a time.
`memory` | Summaries for memory information. See ‘Memory profiling’ below. Can be abbreviated.
`lines` | Summaries for line information. See ‘Line profiling’ below. Can be abbreviated.
`index` | How to summarize the stack trace for memory information. See ‘Details’ below.
`diff` | If `TRUE` memory summaries use change in memory rather than current memory.
`exclude` | Functions to exclude when summarizing the stack trace for memory summaries.
`basenames` | Number of components of the path to filenames to display.

### Details

This function provides the analysis code for `Rprof` files used by `R CMD Rprof`.

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.

### Value

If `memory = "none"` and `lines = "hide"`, a list with components

`by.self` | A data frame of timings sorted by ‘self’ time.
`by.total` | A data frame of timings sorted by ‘total’ time.
`sample.interval` | The sampling interval.
`sampling.time` | Total time of profiling run.

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.

If `lines = "show"`, an additional component is added to the list:

`by.line` | A data frame of timings sorted by source location.

If `memory = "both"` the same list but with memory consumption in Mb in addition to the timings.

If `memory = "tseries"` a data frame giving memory statistics over time. Memory usage is in bytes.

If `memory = "stats"` a `by` object giving memory statistics by function. Memory usage is in bytes.

If no events were recorded, a zero-row data frame is returned.

### Memory profiling

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.

With `memory = "both"` the change in total memory (truncated at zero) is reported in addition to timing data.

With `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.

### Line profiling

If the code being run has source reference information retained (via `keep.source = TRUE` in `source` or `KeepSource = TRUE` in a package ‘DESCRIPTION’ file or some other way), then information about the origin of lines is recorded during profiling. By default this is not displayed, but the `lines` parameter can enable the display.

If `lines = "show"`, line locations will be used in preference to the usual function name information, and the results will be displayed ordered by location in addition to the other orderings.

If `lines = "both"`, line locations will be mixed with function names in a combined display.

### See Also

The chapter on “Tidying and profiling R code” in “Writing R Extensions” (see the ‘doc/manual’ subdirectory of the R source tree).

`Rprof`

`tracemem` traces copying of an object via the C function `duplicate`.

`Rprofmem` is a non-sampling memory-use profiler.

https://developer.r-project.org/memory-profiling.html

### Examples

    ## Not run:
    ## Rprof() is not available on all platforms
    Rprof(tmp <- tempfile())
    example(glm)
    Rprof()
    summaryRprof(tmp)
    unlink(tmp)

    ## End(Not run)

[Package utils version 3.6.0 Index]