Classes | Namespaces | Functions | Variables
stats.py File Reference

Go to the source code of this file.

Classes

class  stats.Dispatch
 DISPATCH CODE ##############. More...

Namespaces

namespace  stats

Functions

def stats.abetacf
def stats.abetai
def stats.achisqprob
 APROBABILITY CALCULATIONS ####.
def stats.achisquare
def stats.acorrelation
def stats.acov
def stats.acovariance
 ACORRELATION FUNCTIONS ######.
def stats.acumfreq
def stats.acumsum
def stats.adescribe
def stats.aerfcc
def stats.aF_oneway
def stats.aF_value
def stats.afindwithin
def stats.afprob
def stats.afriedmanchisquare
def stats.agammln
def stats.ageometricmean
 ACENTRAL TENDENCY ########.
def stats.aglm
def stats.aharmonicmean
def stats.ahistogram
def stats.aitemfreq
 AFREQUENCY FUNCTIONS #######.
def stats.akendalltau
def stats.akruskalwallish
def stats.aks_2samp
def stats.aksprob
def stats.akurtosis
def stats.akurtosistest
def stats.alincc
def stats.alinregress
def stats.amannwhitneyu
def stats.amasslinregress
def stats.amean
def stats.amedian
def stats.amedianscore
def stats.amode
def stats.amoment
 AMOMENTS #############.
def stats.anormaltest
def stats.aobrientransform
 AVARIABILITY FUNCTIONS #####.
def stats.ap2t
def stats.apaired
def stats.apearsonr
def stats.apercentileofscore
def stats.apointbiserialr
def stats.arankdata
def stats.aranksums
def stats.arelfreq
def stats.asamplestdev
def stats.asamplevar
def stats.ascoreatpercentile
def stats.asem
def stats.ashellsort
def stats.asign
 ASUPPORT FUNCTIONS ########.
def stats.asignaltonoise
def stats.askew
def stats.askewtest
 NORMALITY TESTS ##########.
def stats.aspearmanr
def stats.asquare_of_sums
def stats.ass
def stats.astdev
def stats.asterr
def stats.asum
def stats.asumdiffsquared
def stats.asummult
def stats.athreshold
 ATRIMMING FUNCTIONS #######.
def stats.atiecorrect
def stats.atmax
def stats.atmean
def stats.atmin
def stats.atrim1
def stats.atrimboth
def stats.atsem
def stats.atstdev
def stats.attest_1samp
 AINFERENTIAL STATISTICS #####.
def stats.attest_ind
def stats.attest_rel
def stats.atvar
def stats.avar
def stats.avariation
def stats.awilcoxont
def stats.az
def stats.azmap
def stats.azprob
def stats.azs
def stats.dices
def stats.F_value_multivariate
def stats.icc
def stats.lbetacf
def stats.lbetai
def stats.lchisqprob
 PROBABILITY CALCULATIONS ####.
def stats.lchisquare
def stats.lcov
def stats.lcumfreq
def stats.lcumsum
def stats.ldescribe
def stats.lerfcc
def stats.lF_oneway
 ANOVA CALCULATIONS #######.
def stats.lF_value
def stats.lfindwithin
def stats.lfprob
def stats.lfriedmanchisquare
def stats.lgammln
def stats.lgeometricmean
def stats.lharmonicmean
def stats.lhistogram
def stats.lincr
def stats.litemfreq
 FREQUENCY STATS ##########.
def stats.lkendalltau
def stats.lkruskalwallish
def stats.lks_2samp
def stats.lksprob
def stats.lkurtosis
def stats.llincc
def stats.llinregress
def stats.lmannwhitneyu
def stats.lmean
def stats.lmedian
def stats.lmedianscore
def stats.lmode
def stats.lmoment
 MOMENTS #############.
def stats.lobrientransform
 VARIABILITY FUNCTIONS ######.
def stats.lpaired
 CORRELATION FUNCTIONS ######.
def stats.lpearsonr
def stats.lpercentileofscore
def stats.lpointbiserialr
def stats.lrankdata
def stats.lranksums
def stats.lrelfreq
def stats.lsamplestdev
def stats.lsamplevar
def stats.lscoreatpercentile
def stats.lsem
def stats.lshellsort
def stats.lskew
def stats.lspearmanr
def stats.lsquare_of_sums
def stats.lss
def stats.lstdev
def stats.lsterr
def stats.lsum
def stats.lsumdiffsquared
def stats.lsummult
def stats.ltiecorrect
def stats.ltrim1
def stats.ltrimboth
 TRIMMING FUNCTIONS #######.
def stats.lttest_1samp
 INFERENTIAL STATISTICS #####.
def stats.lttest_ind
def stats.lttest_rel
def stats.lvar
def stats.lvariation
def stats.lwilcoxont
def stats.lz
def stats.lzprob
def stats.lzs
def stats.outputfstats
def stats.outputpairedstats
def stats.writecc
 SUPPORT FUNCTIONS #######.

Variables

float stats.__version__ = 0.6
tuple stats.betacf = Dispatch( (lbetacf, (IntType, FloatType)), )
tuple stats.betai = Dispatch( (lbetai, (IntType, FloatType)), )
tuple stats.chisqprob = Dispatch( (lchisqprob, (IntType, FloatType)), )
 PROBABILITY CALCS:
tuple stats.chisquare = Dispatch( (lchisquare, (ListType, TupleType)), )
tuple stats.cumfreq = Dispatch( (lcumfreq, (ListType, TupleType)), )
tuple stats.cumsum = Dispatch( (lcumsum, (ListType, TupleType)), )
tuple stats.describe = Dispatch( (ldescribe, (ListType, TupleType)), )
tuple stats.erfcc = Dispatch( (lerfcc, (IntType, FloatType)), )
tuple stats.F_oneway = Dispatch( (lF_oneway, (ListType, TupleType)), )
 ANOVA FUNCTIONS:
tuple stats.F_value = Dispatch( (lF_value, (ListType, TupleType)), )
tuple stats.findwithin = Dispatch( (lfindwithin, (ListType, TupleType)), )
tuple stats.fprob = Dispatch( (lfprob, (IntType, FloatType)), )
tuple stats.friedmanchisquare = Dispatch( (lfriedmanchisquare, (ListType, TupleType)), )
tuple stats.gammln = Dispatch( (lgammln, (IntType, FloatType)), )
tuple stats.geometricmean = Dispatch( (lgeometricmean, (ListType, TupleType)), )
 DISPATCH LISTS AND TUPLES TO ABOVE FCNS #########.
tuple stats.harmonicmean = Dispatch( (lharmonicmean, (ListType, TupleType)), )
tuple stats.histogram = Dispatch( (lhistogram, (ListType, TupleType)), )
tuple stats.incr = Dispatch( (lincr, (ListType, TupleType)), )
 SUPPORT FUNCTIONS:
tuple stats.itemfreq = Dispatch( (litemfreq, (ListType, TupleType)), )
 FREQUENCY STATISTICS:
tuple stats.kendalltau = Dispatch( (lkendalltau, (ListType, TupleType)), )
tuple stats.kruskalwallish = Dispatch( (lkruskalwallish, (ListType, TupleType)), )
tuple stats.ks_2samp = Dispatch( (lks_2samp, (ListType, TupleType)), )
tuple stats.ksprob = Dispatch( (lksprob, (IntType, FloatType)), )
tuple stats.kurtosis = Dispatch( (lkurtosis, (ListType, TupleType)), )
tuple stats.kurtosistest
 stats.LA = LinearAlgebra
tuple stats.lincc
tuple stats.linregress = Dispatch( (llinregress, (ListType, TupleType)), )
tuple stats.mannwhitneyu = Dispatch( (lmannwhitneyu, (ListType, TupleType)), )
tuple stats.mean = Dispatch( (lmean, (ListType, TupleType)), )
tuple stats.median = Dispatch( (lmedian, (ListType, TupleType)), )
tuple stats.medianscore = Dispatch( (lmedianscore, (ListType, TupleType)), )
tuple stats.mode = Dispatch( (lmode, (ListType, TupleType)), )
tuple stats.moment = Dispatch( (lmoment, (ListType, TupleType)), )
 MOMENTS:
tuple stats.normaltest
tuple stats.obrientransform = Dispatch( (lobrientransform, (ListType, TupleType)), )
 VARIABILITY:
tuple stats.paired = Dispatch( (lpaired, (ListType, TupleType)), )
 CORRELATION FCNS:
tuple stats.pearsonr = Dispatch( (lpearsonr, (ListType, TupleType)), )
tuple stats.percentileofscore = Dispatch( (lpercentileofscore, (ListType, TupleType)), )
tuple stats.pointbiserialr = Dispatch( (lpointbiserialr, (ListType, TupleType)), )
tuple stats.rankdata = Dispatch( (lrankdata, (ListType, TupleType)), )
tuple stats.ranksums = Dispatch( (lranksums, (ListType, TupleType)), )
tuple stats.relfreq = Dispatch( (lrelfreq, (ListType, TupleType)), )
tuple stats.samplestdev = Dispatch( (lsamplestdev, (ListType, TupleType)), )
tuple stats.samplevar = Dispatch( (lsamplevar, (ListType, TupleType)), )
tuple stats.scoreatpercentile = Dispatch( (lscoreatpercentile, (ListType, TupleType)), )
tuple stats.sem = Dispatch( (lsem, (ListType, TupleType)), )
tuple stats.shellsort = Dispatch( (lshellsort, (ListType, TupleType)), )
tuple stats.signaltonoise = Dispatch( (asignaltonoise, (N.ndarray,)),)
tuple stats.skew = Dispatch( (lskew, (ListType, TupleType)), )
tuple stats.skewtest
 DISTRIBUTION TESTS.
tuple stats.spearmanr = Dispatch( (lspearmanr, (ListType, TupleType)), )
tuple stats.square_of_sums = Dispatch( (lsquare_of_sums, (ListType, TupleType)), )
tuple stats.ss = Dispatch( (lss, (ListType, TupleType)), )
tuple stats.stdev = Dispatch( (lstdev, (ListType, TupleType)), )
tuple stats.sterr = Dispatch( (lsterr, (ListType, TupleType)), )
tuple stats.sum = Dispatch( (lsum, (ListType, TupleType)), )
tuple stats.sumdiffsquared = Dispatch( (lsumdiffsquared, (ListType, TupleType)), )
tuple stats.summult = Dispatch( (lsummult, (ListType, TupleType)), )
tuple stats.threshold = Dispatch( (athreshold, (N.ndarray,)),)
 TRIMMING FCNS:
tuple stats.tiecorrect = Dispatch( (ltiecorrect, (ListType, TupleType)), )
tuple stats.tmean = Dispatch( (atmean, (N.ndarray,)) )
tuple stats.trim1 = Dispatch( (ltrim1, (ListType, TupleType)), )
tuple stats.trimboth = Dispatch( (ltrimboth, (ListType, TupleType)), )
 TRIMMING FCNS:
tuple stats.tsem = Dispatch( (atsem, (N.ndarray,)) )
tuple stats.tstdev = Dispatch( (atstdev, (N.ndarray,)) )
tuple stats.ttest_1samp = Dispatch( (lttest_1samp, (ListType, TupleType)), )
 INFERENTIAL STATS:
tuple stats.ttest_ind = Dispatch( (lttest_ind, (ListType, TupleType)), )
tuple stats.ttest_rel = Dispatch( (lttest_rel, (ListType, TupleType)), )
tuple stats.tvar = Dispatch( (atvar, (N.ndarray,)) )
tuple stats.var = Dispatch( (lvar, (ListType, TupleType)), )
tuple stats.variation = Dispatch( (lvariation, (ListType, TupleType)), )
tuple stats.wilcoxont = Dispatch( (lwilcoxont, (ListType, TupleType)), )
tuple stats.z = Dispatch( (lz, (ListType, TupleType)), )
tuple stats.zprob = Dispatch( (lzprob, (IntType, FloatType)), )
tuple stats.zs = Dispatch( (lzs, (ListType, TupleType)), )


wiimote
Author(s): Andreas Paepcke, Melonee Wise
autogenerated on Mon Oct 6 2014 01:06:37