my input is from csv file:
fname= 'test'
csvdata = read.table(file=paste(fname,'.csv',sep=''),head=FALSE)
x = csvdata$V1
y = csvdata$V2
I know that this group is not about php , but I managed to make function
from above a lot faster, and I'm still cannot operate R at a sufficient
level to recreate in in this language. Fit function in R that kinda
resembles it is smooth.spline, but that function seems to go in a strange
directions when data density becomes low
But I think I would get desired behaviour in smooth.spline if for x axis I
put matrix of simple 1,2,3 sequence
here is revised php code:
function smooth($in,$smooth=500) {
if (count(current($in))!=2) exit('wrong array');
timer();
foreach($in as &$v) {
$v[0] = (string)$v[0];
if (!isset($y[$v[0]])) {
$y[$v[0]] = 0;
$z[$v[0]] = 0;
}
$y[$v[0]] += $v[1];
++$z[$v[0]];
}
unset($in);
ksort($y, SORT_NUMERIC);
ksort($z, SORT_NUMERIC);
$x = array_keys($z);
$y = array_values($y);
$z = array_values($z);
$count = count($z);
echo n.$count.' : ';
for ($k=0;$k<$count;++$k) {
if (!($k % 1000)) echo $k.' ';
$u = $d = 0;
$usum = $dsum = 0;
$walk = 0;
while (true) {
++$walk;
if (isset($z[$k-$walk]) and
$z[$k]+$z[$k-$walk]+$usum<$smooth) {
$usum += $z[$k-$walk];
$u += $y[$k-$walk];
}
else break;
}
$walk = 0;
while (true) {
++$walk;
if (isset($z[$k+$walk]) and
$z[$k]+$z[$k+$walk]+$dsum<$smooth) {
$dsum += $z[$k+$walk];
$d += $y[$k+$walk];
}
else break;
}
$out[$k] = ($y[$k]+$u+$d)/($z[$k]+$usum+$dsum);
}
echo ' : '.timer().n;
return array($x,$out);
}
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