pengjunjie/sdkjs
1
0
Fork 1
mirror of https://github.com/ONLYOFFICE/sdkjs.git synced 2026-04-07 14:09:12 +08:00
Code Issues Packages Projects Releases Wiki Activity

добавлены функции

Browse Source 
LOGINV, LOGNORMDIST, NEGBINOMDIST, NORMDIST, NORMINV, NORMSDIST, NORMSINV, PEARSON, PERCENTILE, PERCENTRANK, PERMUT, POISSON, PROB, QUARTILE, RSQ, SKEW, SLOPE, STANDARDIZE, STDEVA, VAR
поправлены функции 
AVEDEV, AVERAGE, CORREL, FESHER, FISHERINV

git-svn-id: svn://192.168.3.15/activex/AVS/Sources/TeamlabOffice/trunk/OfficeWeb@48959 954022d7-b5bf-4e40-9824-e11837661b57
This commit is contained in:
Dmitry.Shahtanov
2013-08-20 10:13:16 +00:00
committed by Alexander.Trofimov
parent 031b45fa57
commit 099c59d5e0
4 changed files with 2446 additions and 360 deletions
Download Patch File Download Diff File Expand all files Collapse all files

843
Excel/.unit-tests/FormulaTests.js
View File

File diff suppressed because it is too large Load Diff

8
Excel/model/mathematicFunctions.js
View File

@ -462,10 +462,10 @@ cFormulaFunction.Mathematic = {
}
else {
arg0.foreach( function ( elem, r, c ) {
var a = elem;
b = arg1.getElementRowCol( r, c );
var a = elem,
b = arg1.getElementRowCol( r, c );
if ( a instanceof cNumber && b instanceof cNumber ) {
this.array[r][c] = new cNumber( Math.fact( a.getValue() ) / (Math.fact( b.getValue() ) * Math.fact( a.getValue() - b.getValue() )) );
this.array[r][c] = new cNumber( Math.binomCoeff( a.getValue(), b.getValue() ) );
}
else
this.array[r][c] = new cError( cErrorType.wrong_value_type );
@ -498,7 +498,7 @@ cFormulaFunction.Mathematic = {
if ( a.getValue() <= 0 || b.getValue() <= 0 || a.getValue() < b.getValue() )
this.array[r][c] = new cError( cErrorType.not_numeric );
this.array[r][c] = new cNumber( Math.fact( a.getValue() ) / (Math.fact( b.getValue() ) * Math.fact( a.getValue() - b.getValue() )) );
this.array[r][c] = new cNumber( Math.binomCoeff( a.getValue(), b.getValue() ) );
}
else
this.array[r][c] = new cError( cErrorType.wrong_value_type );

318
Excel/model/parserFormula.js
View File

@ -130,6 +130,10 @@ Math.ln = function( x ){
Math.binomCoeff = function ( n, k ) {
return this.fact( n ) / (this.fact( k ) * this.fact( n - k ));
}
Math.permut = function ( n, k ) {
return this.fact( n ) / this.fact( n - k );
}
var _func = [];//для велосипеда а-ля перегрузка функций.
_func[cElementType.number] = [];
_func[cElementType.string] = [];
@ -3419,3 +3423,317 @@ function parseNum( str ) {
return false;
return !isNaN( str );
}
function phi( x ) {
return 0.39894228040143268 * Math.exp( -(x * x) / 2.0 );
}
function taylor( pPolynom, nMax, x ) {
var nVal = pPolynom[nMax];
for ( var i = nMax - 1; i >= 0; i-- ) {
nVal = pPolynom[i] + (nVal * x);
}
return nVal;
}
function gauss( x ) {
var t0 =
[ 0.39894228040143268, -0.06649038006690545, 0.00997355701003582,
-0.00118732821548045, 0.00011543468761616, -0.00000944465625950,
0.00000066596935163, -0.00000004122667415, 0.00000000227352982,
0.00000000011301172, 0.00000000000511243, -0.00000000000021218 ],
t2 =
[ 0.47724986805182079, 0.05399096651318805, -0.05399096651318805,
0.02699548325659403, -0.00449924720943234, -0.00224962360471617,
0.00134977416282970, -0.00011783742691370, -0.00011515930357476,
0.00003704737285544, 0.00000282690796889, -0.00000354513195524,
0.00000037669563126, 0.00000019202407921, -0.00000005226908590,
-0.00000000491799345, 0.00000000366377919, -0.00000000015981997,
-0.00000000017381238, 0.00000000002624031, 0.00000000000560919,
-0.00000000000172127, -0.00000000000008634, 0.00000000000007894 ],
t4 =
[ 0.49996832875816688, 0.00013383022576489, -0.00026766045152977,
0.00033457556441221, -0.00028996548915725, 0.00018178605666397,
-0.00008252863922168, 0.00002551802519049, -0.00000391665839292,
-0.00000074018205222, 0.00000064422023359, -0.00000017370155340,
0.00000000909595465, 0.00000000944943118, -0.00000000329957075,
0.00000000029492075, 0.00000000011874477, -0.00000000004420396,
0.00000000000361422, 0.00000000000143638, -0.00000000000045848 ];
var asympt = [ -1.0, 1.0, -3.0, 15.0, -105.0 ],
xabs = Math.abs( x ),
xshort = Math.floor( xabs ),
nval = 0.0;
if ( xshort == 0 )
nval = taylor( t0, 11, (xabs * xabs) ) * xabs;
else if ( (xshort >= 1) && (xshort <= 2) )
nval = taylor( t2, 23, (xabs - 2.0) );
else if ( (xshort >= 3) && (xshort <= 4) )
nval = taylor( t4, 20, (xabs - 4.0) );
else
nval = 0.5 + phi( xabs ) * taylor( asympt, 4, 1.0 / (xabs * xabs) ) / xabs;
if ( x < 0.0 )
return -nval;
else
return nval;
}
function gaussinv( x ) {
var q, t, z;
q = x - 0.5;
if ( Math.abs( q ) <= .425 ) {
t = 0.180625 - q * q;
z =
q *
(
(
(
(
(
(
(
t * 2509.0809287301226727 + 33430.575583588128105
)
* t + 67265.770927008700853
)
* t + 45921.953931549871457
)
* t + 13731.693765509461125
)
* t + 1971.5909503065514427
)
* t + 133.14166789178437745
)
* t + 3.387132872796366608
)
/
(
(
(
(
(
(
(
t * 5226.495278852854561 + 28729.085735721942674
)
* t + 39307.89580009271061
)
* t + 21213.794301586595867
)
* t + 5394.1960214247511077
)
* t + 687.1870074920579083
)
* t + 42.313330701600911252
)
* t + 1.0
);
}
else {
if ( q > 0 )
t = 1 - x;
else
t = x;
t = Math.sqrt( -Math.log( t ) );
if ( t <= 5.0 ) {
t += -1.6;
z =
(
(
(
(
(
(
(
t * 7.7454501427834140764e-4 + 0.0227238449892691845833
)
* t + 0.24178072517745061177
)
* t + 1.27045825245236838258
)
* t + 3.64784832476320460504
)
* t + 5.7694972214606914055
)
* t + 4.6303378461565452959
)
* t + 1.42343711074968357734
)
/
(
(
(
(
(
(
(
t * 1.05075007164441684324e-9 + 5.475938084995344946e-4
)
* t + 0.0151986665636164571966
)
* t + 0.14810397642748007459
)
* t + 0.68976733498510000455
)
* t + 1.6763848301838038494
)
* t + 2.05319162663775882187
)
* t + 1.0
);
}
else {
t += -5.0;
z =
(
(
(
(
(
(
(
t * 2.01033439929228813265e-7 + 2.71155556874348757815e-5
)
* t + 0.0012426609473880784386
)
* t + 0.026532189526576123093
)
* t + 0.29656057182850489123
)
* t + 1.7848265399172913358
)
* t + 5.4637849111641143699
)
* t + 6.6579046435011037772
)
/
(
(
(
(
(
(
(
t * 2.04426310338993978564e-15 + 1.4215117583164458887e-7
)
* t + 1.8463183175100546818e-5
)
* t + 7.868691311456132591e-4
)
* t + 0.0148753612908506148525
)
* t + 0.13692988092273580531
)
* t + 0.59983220655588793769
)
* t + 1.0
);
}
if ( q < 0.0 ) z = -z;
}
return z;
}
/*
from OpenOffice Source.
\sc\source\core\tool\interpr3.cxx
begin
*/
var maxGammaArgument = 171.624376956302;
function lcl_getLanczosSum( fZ ) {
var num = [
23531376880.41075968857200767445163675473,
42919803642.64909876895789904700198885093,
35711959237.35566804944018545154716670596,
17921034426.03720969991975575445893111267,
6039542586.35202800506429164430729792107,
1439720407.311721673663223072794912393972,
248874557.8620541565114603864132294232163,
31426415.58540019438061423162831820536287,
2876370.628935372441225409051620849613599,
186056.2653952234950402949897160456992822,
8071.672002365816210638002902272250613822,
210.8242777515793458725097339207133627117,
2.506628274631000270164908177133837338626
],
denom = [
0,
39916800,
120543840,
150917976,
105258076,
45995730,
13339535,
2637558,
357423,
32670,
1925,
66,
1
];
// Horner scheme
var sumNum, sumDenom, i, zInv;
if ( fZ <= 1.0 ) {
sumNum = num[12];
sumDenom = denom[12];
for ( i = 11; i >= 0; --i ) {
sumNum *= fZ;
sumNum += num[i];
sumDenom *= fZ;
sumDenom += denom[i];
}
}
else
// Cancel down with fZ^12; Horner scheme with reverse coefficients
{
zInv = 1 / fZ;
sumNum = num[0];
sumDenom = denom[0];
for ( i = 1; i <= 12; ++i ) {
sumNum *= zInv;
sumNum += num[i];
sumDenom *= zInv;
sumDenom += denom[i];
}
}
return sumNum / sumDenom;
}
/** You must ensure fZ>0; fZ>171.624376956302 will overflow. */
function lcl_GetGammaHelper( fZ ) {
var gamma = lcl_getLanczosSum( fZ ),
fg = 6.024680040776729583740234375,
zgHelp = fZ + fg - 0.5;
// avoid intermediate overflow
var halfpower = Math.pow( zgHelp, fZ / 2 - 0.25 );
gamma *= halfpower;
gamma /= Math.exp( zgHelp );
gamma *= halfpower;
if ( fZ <= 20 && fZ == Math.floor( fZ ) )
gamma = Math.round( gamma );
return gamma;
}
/** You must ensure fZ>0 */
function lcl_GetLogGammaHelper( fZ ) {
var _fg = 6.024680040776729583740234375, zgHelp = fZ + _fg - 0.5;
return Math.log( lcl_getLanczosSum( fZ ) ) + (fZ - 0.5) * Math.log( zgHelp ) - zgHelp;
}
function getLogGamma( fZ ) {
if ( fZ >= maxGammaArgument )
return lcl_GetLogGammaHelper( fZ );
if ( fZ >= 0 )
return Math.log( lcl_GetGammaHelper( fZ ) );
if ( fZ >= 0.5 )
return Math.log( lcl_GetGammaHelper( fZ + 1 ) / fZ );
return lcl_GetLogGammaHelper( fZ + 2 ) - Math.log( fZ + 1 ) - Math.log( fZ );
}

1637
Excel/model/statisticalFunctions.js
View File

File diff suppressed because it is too large Load Diff