Help with saving user defined functions

I want to split my computation into parts. The first script processes the
data, the second does the graphics. I want to save  results of
time-consuming calculations. My example tried to simulate this by terminate
the session without saving it, so the environment was lost on purpose. What
confuses me that ecdf can be saved and restored, but not my own derived
function.
Of course I can save parameters and redefine the function in the second
script.

Reading Chapter 8 of Advanced R, hopefully the book will clear my mind.

On Mon, Feb 13, 2017 at 12:05 AM, Bert Gunter <bgunter.4567 at gmail.com>
wrote:

It worked fine for me:

t <- rnorm(100)
cdf <- ecdf(t)

trans <- function(x) qnorm(cdf(x) * 0.99)
saveRDS(trans, "/tmp/foo")
trans(1.2)

[1] 1.042457

trans1 <- readRDS("/tmp/foo")
trans1(0)

[1] 0.1117773


Of course, if I remove cdf() from the global environment, it will fail:

rm(cdf)
trans1(0)

Error in qnorm(cdf(x) * 0.99) : could not find function "cdf"

So it looks like you're clearing you global workspace in between
saving and loading?

You may need to read up on function closures/lexical scoping : A
user-defined function in R includes not only code but also a pointer
to the environment in which it was defined, in your case, the global
environment from which you apparently removed cdf(). Note that
functions are not evauated until called, so free variables in the
functions that do not or will not exist in the function's lexical
scope when called will not trigger any errors until the function *is*
called.

Same comments for your second version -- if tmp is removed the
function will fail.



Cheers,
Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Sun, Feb 12, 2017 at 2:11 PM, George Trojan - NOAA Federal
<george.trojan at noaa.gov> wrote:

I can't figure out how to save functions to RDS file. Here is an example
what I am trying to achieve:

t <- rnorm(100)
cdf <- ecdf(t)
cdf(0)

[1] 0.59

saveRDS(cdf, "/tmp/foo")

Save workspace image? [y/n/c]: n
[gtrojan at asok petproject]$ R

cdf <- readRDS("/tmp/foo")
cdf

Empirical CDF
Call: ecdf(t)
x[1:100] = -2.8881, -2.2054, -2.0026,  ..., 2.0367, 2.0414

This works. However when instead of saving cdf() I try to save function

trans <- function(x) qnorm(cdf(x) * 0.99)

after restoring object from file I get an error:

trans <- readRDS("/tmp/foo")
trans(0)

Error in qnorm(cdf(x) * 0.99) : could not find function "cdf"

I tried to define and call cdf within the definition of trans, without
success:

tmp <- rnorm(100)
trans <- function(x) { cdf <- ecdf(tmp); cdf(0); qnorm(cdf(x)) * 0.99 }
saveRDS(trans, "/tmp/foo")

Save workspace image? [y/n/c]: n

trans <- readRDS("/tmp/foo")
trans

function(x) { cdf <- ecdf(tmp); cdf(0); qnorm(cdf(x)) * 0.99 }

trans(0)

Error in sort(x) : object 'tmp' not found

So, here the call cdf(0) did not force evaluation of my random sample.
What
am I missing?

George

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