[Math_Stats] element index

Package indexes

All elements
a c f g h i k m p q r s v
a
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absDev
Calculates the absolute deviation of the data points in the set Handles cummulative data sets correctly
absDevWithMean
Calculates the absolute deviation of the data points in the set given a fixed mean (average) value. Not used in calcBasic(), calcFull() or calc().
c
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calc
Math_Stats::calc() in Stats.php
Calculates the basic or full statistics for the data set
calcBasic
Calculates a basic set of statistics
calcFull
Calculates a full set of statistics
center
Transforms the data by substracting each entry from the mean.
coeffOfVariation
Calculates the coefficient of variation of a data set.
count
Math_Stats::count() in Stats.php
Calculates the number of data points in the set Handles cummulative data sets correctly
f
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frequency
Calculates the value frequency table of a data set.
g
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geometricMean
Calculates the geometrical mean of the data points in the set Handles cummulative data sets correctly
getData
Returns the data which might have been modified according to the current null handling options.
h
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harmonicMean
Calculates the harmonic mean of the data points in the set Handles cummulative data sets correctly
i
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interquartileMean
The interquartile mean is defined as the mean of the values left after discarding the lower 25% and top 25% ranked values, i.e.:
interquartileRange
The interquartile range is the distance between the 75th and 25th percentiles. Basically the range of the middle 50% of the data set, and thus is not affected by outliers or extreme values.
k
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kurtosis
Calculates the kurtosis of the data distribution in the set The kurtosis measures the degrees of peakedness of a distribution.
m
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Math_Stats
Math_Stats in Stats.php
A class to calculate descriptive statistics from a data set.
Math_Stats
Constructor for the class
max
Math_Stats::max() in Stats.php
Calculates the maximum of a data set.
mean
Math_Stats::mean() in Stats.php
Calculates the mean (average) of the data points in the set Handles cummulative data sets correctly
median
Calculates the median of a data set.
midrange
Calculates the midrange of a data set.
min
Math_Stats::min() in Stats.php
Calculates the minimum of a data set.
mode
Math_Stats::mode() in Stats.php
Calculates the mode of a data set.
p
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percentile
The pth percentile is the value such that p% of the a sorted data set is smaller than it, and (100 - p)% of the data is larger.
product
Calculates PROD { (xi) }, (the product of all observations) Handles cummulative data sets correctly
productN
Calculates PROD { (xi)^n }, which is the product of all observations Handles cummulative data sets correctly
q
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quartileDeviation
The quartile deviation is half of the interquartile range value
quartiles
The quartiles are defined as the values that divide a sorted data set into four equal-sized subsets, and correspond to the 25th, 50th, and 75th percentiles.
quartileSkewnessCoefficient
The quartile skewness coefficient (also known as Bowley Skewness), is defined as follows:
quartileVariationCoefficient
The quartile variation coefficient is defines as follows:
r
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range
Math_Stats::range() in Stats.php
Calculates the range of the data set = max - min
s
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Stats.php
Stats.php in Stats.php
sampleCentralMoment
Calculates the nth central moment (m{n}) of a data set.
sampleRawMoment
Calculates the nth raw moment (m{n}) of a data set.
setData
Sets and verifies the data, checking for nulls and using the current null handling option
setNullOption
Sets the null handling option.
skewness
Calculates the skewness of the data distribution in the set The skewness measures the degree of asymmetry of a distribution, and is related to the third central moment of a distribution.
STATS_BASIC
STATS_BASIC in Stats.php
STATS_BASIC to generate the basic descriptive statistics
STATS_DATA_CUMMULATIVE
STATS_DATA_CUMMULATIVE for an associative array of frequency values,
STATS_DATA_SIMPLE
STATS_DATA_SIMPLE in Stats.php
STATS_DATA_SIMPLE for an array of numeric values. This is the default.
STATS_FULL
STATS_FULL in Stats.php
STATS_FULL to generate also higher moments, mode, median, etc.
STATS_IGNORE_NULL
STATS_IGNORE_NULL in Stats.php
STATS_IGNORE_NULL, ignore null values and prune them from the data.
STATS_REJECT_NULL
STATS_REJECT_NULL in Stats.php
STATS_REJECT_NULL, reject data sets with null values. This is the default.
STATS_USE_NULL_AS_ZERO
STATS_USE_NULL_AS_ZERO, assign the value of 0 (zero) to null values.
stdErrorOfMean
Calculates the standard error of the mean.
stDev
Math_Stats::stDev() in Stats.php
Calculates the standard deviation (unbiased) of the data points in the set Handles cummulative data sets correctly
stDevWithMean
Calculates the standard deviation (unbiased) of the data points in the set given a fixed mean (average) value. Not used in calcBasic(), calcFull() or calc().
studentize
Transforms the data by substracting each entry from the mean and dividing by its standard deviation. This will reset all pre-calculated values to their original (unset) defaults.
sum
Math_Stats::sum() in Stats.php
Calculates SUM { xi } Handles cummulative data sets correctly
sum2
Math_Stats::sum2() in Stats.php
Calculates SUM { (xi)^2 } Handles cummulative data sets correctly
sumN
Math_Stats::sumN() in Stats.php
Calculates SUM { (xi)^n } Handles cummulative data sets correctly
v
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variance
Calculates the variance (unbiased) of the data points in the set Handles cummulative data sets correctly
varianceWithMean
Calculates the variance (unbiased) of the data points in the set given a fixed mean (average) value. Not used in calcBasic(), calcFull() or calc().
a c f g h i k m p q r s v