nameSample | R Documentation |
Find the seed necessary to produce a character sequence by using sample
nameSample(name, progress = FALSE, estimatetime = nc > 4, continue = FALSE)
name |
Character string. long strings (>>5) will compute a VERY long time! |
progress |
Logical. Monitor progress by printing a dot every 10000 tries? DEFAULT: TRUE for long names (nchar(name)>3). |
estimatetime |
Estimate computation time? DEFAULT: nc>4 |
continue |
Continue without asking? DEFAULT: FALSE |
cat
s command into the console that can be copypasted to anyone's R script.
nameSample may take a lot of time, due to nchar^26 possibilities. That's why it warns about strings longer than 5 characters
Berry Boessenkool, berry-b@gmx.de, April 2014
yearSample
to wish a happy new year, set.seed
, sample
, letters
## Not run in RCMD check as they're very time consuming
## Not run:
# nameSample("berry") # After that, you can send the result to colleagues:
# Kind regards from
set.seed(1248272); paste(sample(letters,5,TRUE), collapse='')
# calculation time
system.time(nameSample("ber"))
system.time(nameSample("ber", FALSE))
# let <- sapply(1:4, function(n) apply(replicate(n, letters[sample(15)]), 1, paste, collapse=""))
# calctime <- sapply(let, function(x) system.time(nameSample(x, progress=F))[3])
# write.table(calctime, "calctime_nameSample.txt")
ctfile <- system.file("extdata/calctime_nameSample.txt", package="berryFunctions")
ctfile2 <- system.file("extdata/calctime_nameSample2.txt", package="berryFunctions")
calctime <- read.table(ctfile)
# regression result in hours:
expReg(nchar(rownames(calctime))-8, calctime[,1], xlim=c(1,7), ylim=c(-3,4),
predict=7)/3600
# For my 3 times faster computer:
calctime <- read.table(ctfile2)
expReg(nchar(rownames(calctime))-8, calctime[,1], xlim=c(1,7), ylim=c(-3,4),
predict=c(4,7))/c(1,3600)
# 4 sec for 4 letters are expected to be 10 hours for 7 letters...
## End(Not run)
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