The GSL-STATISTICS module

Mean, Standard Deviation and Variance

mean Function
Signature:

mean (data #key stride) => (mean)

Parameters:
Values:
standard-deviation Function
Signature:

standard-deviation (data #key stride mean fixed-mean?) => (sd)

Parameters:
Values:
tss Function
Signature:

tss (data #key stride mean) => (tss)

Parameters:
Values:
variance Function
Signature:

variance (data #key stride mean population?) => (variance)

Parameters:
Values:

Absolute deviation

abs-dev Function
Signature:

abs-dev (data #key stride mean) => (mean)

Parameters:
Values:

Covariance

covariance Function
Signature:

covariance (data1 data2 #key stride1 stride2 mean1 mean2) => (covariance)

Parameters:
Values:

Higher moments (skewness and kurtosis)

skew Function
Signature:

skew (data #key stride mean sd) => (skewness)

Parameters:
Values:
kurtosis Function
Signature:

kurtosis (data #key stride mean sd) => (kurtosis)

Parameters:
Values:

Autocorrelation

lag1-autocorrelation Function
Signature:

lag1-autocorrelation (data #key stride mean) => (autocorrelation)

Parameters:
Values:

Maximum and Minimum

maximum Function
Signature:

maximum (data) => (max)

Parameters:
Values:
minimum Function
Signature:

minimum (data) => (min)

Parameters:
Values:
minimum-maximum Function
Signature:

minimum-maximum (data) => (minimum maximum)

Parameters:
Values:
maximum-index Function
Signature:

maximum-index (data) => (max-index)

Parameters:
Values:
minimum-index Function
Signature:

minimum (data) => (min-index)

Parameters:
Values:
minmax-index Function
Signature:

minimum-maximum (data) => (min-index max-index)

Parameters:
Values:

Correlation

correlation Function
Signature:

correlation (data1 data2 #key stride1 stride2) => (correlation)

Parameters:
Values:
spearman Function
Signature:

spearman (data1 data2 work #key stride1 stride2) => (correlation-sd)

Parameters:
Values:

Weighted samples

wmean Function
Signature:

wmean (weights data #key weights-stride data-stride) => (wmean)

Parameters:
Values:
wvariance Function
Signature:

wvariance (weights data #key weights-stride data-stride mean fixed-mean? population?) => (wvariance)

Parameters:
Values:
wsd Function
Signature:

wsd (weights data #key weights-stride data-stride mean) => (wsd)

Parameters:
Values:
wtss Function
Signature:

wtss (weights data #key weights-stride data-stride mean) => (wtss)

Parameters:
Values:
wabs-dev Function
Signature:

wabs-dev (weights data #key weights-stride data-stride mean) => (wabs-dev)

Parameters:
Values:
wskew Function
Signature:

wskew (weights data #key weights-stride data-stride) => (wskew)

Parameters:
Values:
wkurtosis Function
Signature:

wkurtosis (weights data #key weights-stride data-stride mean sd) => (wkurtosis)

Parameters:
Values:

Median and Percentiles

median Function
Signature:

median (data #key stride sorted?) => (median)

Parameters:
Values:
quantile-from-sorted-data Function
Signature:

quantile-from-sorted-data (data f) => (quantile)

Parameters:
Values:

Order Statistics

kth-order-statistic Function
Signature:

kth-order-statistic (data k #key stride) => (kth-order-statistic)

Parameters:
Values:

Robust Location Estimates

trimmed-mean Function
Signature:

trimmed-mean (sorted-data alpha #key stride) => (trimmed-mean)

Parameters:
Values:
gastwirth-estimator Function
Signature:

gastwirth-estimator (sorted-data #key stride) => (gastwirth-estimator)

Parameters:
Values:

Robust Scale Estimates

mad Function
Signature:

mad (data #key stride) => (mad)

Parameters:
Values:
mad0 Function
Signature:

mad0 (data #key stride) => (mad0)

Parameters:
Values:

\(S_n\) Statistic

sn0 Function
Signature:

sn0 (sorted-data) => (sn0)

Parameters:
Values:
sn Function
Signature:

sn (sorted-data) => (sn)

Parameters:
Values:

\(Q_n\) Statistic

qn0 Function
Signature:

qn0 (sorted-data) => (qn0)

Parameters:
Values:
qn Function
Signature:

qn (sorted-data) => (qn)

Parameters:
Values: