aprof (version 0.3.2)

plot.aprof: plot.aprof

Description

Plot execution time, or total MB usage when memory profiling, per line of code from a previously profiled source file. The plot visually shows bottlenecks in a program's execution time, shown directly next to the code of the source file.

Usage

"plot"(x, y, ...)

Arguments

x

An aprof object as returned by aprof(). If this object contains both memory and time profiling information both will be plotted (as proportions of total time and total memory allocations.

y

Unused and ignored at current.

...

Additional printing arguments. Unused at current.

Examples

## Not run: 
# # create function to profile
# foo <- function(N){
#         preallocate<-numeric(N)
#         grow<-NULL  
#          for(i in 1:N){
#              preallocate[i]<-N/(i+1)
#              grow<-c(grow,N/(i+1))
#             }
# }
# 
# ## save function to a source file and reload
# dump("foo",file="foo.R")
# source("foo.R")
# 
# ## create file to save profiler output
# tmp<-tempfile()
# 
# ## Profile the function
# Rprof(tmp,line.profiling=TRUE)
# foo(1e4)
# Rprof(append=FALSE)
# 
# ## Create a aprof object
# fooaprof<-aprof("foo.R",tmp)
# plot(fooaprof)
# ## End(Not run)