Programmer Guide/Command Reference/EVAL/rpolyreg: Difference between revisions

Revision as of 13:40, 11 April 2011

Linear, multivariant and polynominal regression.

Usage 1

rpolyreg(x, {y}):

Result 1: A vector r with the two linear regression coefficients.; y_REG[i] = r[0] + r[1] * x[i]

@@ Line 1: / Line 1: @@
 {{DISPLAYTITLE:{{SUBPAGENAME}}}}
-=====rpolyreg=====
+Linear, multivariant and polynominal regression.
+----
-Computes the polynomial regression coefficients of order <var>m</var> for the function <code>y=f(</code><var>x</var><code>)</code>.
+;Usage 1: <code>rpolyreg(<var>x</var>, {<var>y</var>})</code>:
+:;<var>x</var>: x data vector
-=====Usage:=====
+:;<var>y</var>: y data vector: <code>''y''[i] = f(''x''[i])</code>
+;Result 1: A vector ''r'' with the two linear regression coefficients.
-<code>rpolyreg(<var>m</var>, <var>y</var>, {<var>x</var>})</code>
+:<code>''y''<sub>REG</sub>[i] = ''r''[0] + ''r''[1] * ''x''[i]
+----
-=====Parameters:=====
-;<var>m</var>
-:The regression order (<code>1</code>=linear etc).
-;<var>y</var>
-:The y data vector.
-;<var>x</var>
-:The x data vector. If <var>x</var> is not supplied, then <var>x</var><code>[i]</code> is set to the value of <code>i</code>.
-=====Result:=====
-The regression coefficients - a vector with <var>m</var><code>+1</code> elements.
-=====Return Type:=====
-A vector.