reason for odd timings

Occasionally I run some rather trivial timings to get an idea of what might
be the best way to compute some quantities.

The program below gave timings for sums of squares of 100 elements much
greater
than those for 1000, which seems surprising. Does anyone know the cause of
this?

This isn't holding up my work. Just causing some head scratching.

JN

source("sstimer.R")

 n        t(forloop) : ratio      t(sum) : ratio         t(crossprod)
all.equal
100      38719.15  :  1.766851   13421.12  :  0.6124391          21914.21
      TRUE
1000     44722.71  :  20.98348   3093.94  :  1.451648    2131.33
 TRUE
10000    420149.9  :  42.10269   27341.6  :  2.739867    9979.17
 TRUE
1e+05    4070469  :  39.89473    343293.5  :  3.364625   102030.2
TRUE
1e+06    42293696  :  33.27684   3605866  :  2.837109    1270965
 TRUE
1e+07    408123066  :  29.20882          35415106  :  2.534612   13972596
      TRUE

# crossprod timer
library(microbenchmark)
suml<-function(vv) {
    ss<-0.0
    for (i in 1:length(vv)) {ss<-ss+vv[i]^2}
    ss
}
sums<-function(vv) {
  ss<-sum(vv^2)
  ss
}
sumc<-function(vv) {
  ss<-as.numeric(crossprod(vv))
  ss
}
ll <- c(100, 1000, 10000, 100000, 1000000, 10000000)
cat(" n  \t  t(forloop) : ratio \t  t(sum) : ratio \t t(crossprod) \t
all.equal \n")
for (nn in ll ){
   set.seed(1234)
   vv <- runif(nn)
   tsuml<-microbenchmark(sl<-suml(vv), unit="us")
   tsums<-microbenchmark(ss<-sums(vv), unit="us")
   tsumc<-microbenchmark(sc<-sumc(vv), unit="us")
   ml<-mean(tsuml$time)
   ms<-mean(tsums$time)
   mc<-mean(tsumc$time)
   cat(nn,"\t",ml," : ",ml/mc,"\t",ms," :
",ms/mc,"\t",mc,"\t",all.equal(sl, ss, sc),"\n")
}