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3.5.2 Statistics
Basic
| Name
|
Brief
|
Example
|
| Average
|
Returns the average of a vector. Same as Mean
|
Example
|
| Count
|
Counts elements in a vector.
|
Example
|
| Cov
|
Returns the covariance between two datasets.
|
|
| Forecast
|
Performs linear regression on the known XY coordinates to calculate or predict y coordinate at given coordinate x.
|
Example
|
| Intercept
|
Calculates the intercept of the linear regression of the given curve.
|
Example
|
| Max
|
This function returns the maximum value from a set of values.
|
Example
|
| Maxifs
|
Returns the maximum value from a given dataset vd that satisfies a specified condition con.
|
Example
|
| Mean
|
Returns the average of a vector.
|
Example
|
| Median
|
This function is used to return median of vdData with n Interpolation.
|
Example
|
| Min
|
This function is used to return the minimum value from a set of values.
|
Example
|
| Minifs
|
Returns the minimum value from a given dataset vd that satisfies a specified condition con.
|
Example
|
| Rms
|
This function is used to return the root mean square of a vector.
|
Example
|
| Sem
|
Calculates the standard error of a vector.
|
Example
|
| Slope
|
Calculates the slope of the linear regression of the given curve.
|
Example
|
| Ss
|
Assumes the mean of the data as the reference value.
|
Example
|
| StdDev
|
Calculates the standard deviation based on a sample.
|
Example
|
| StdDevP
|
Return the standard deviation based on the entire population given as arguments.
|
Example
|
| Total
|
Returns the sum of a vector.
|
Example
|
Conditional Statistics
| Name
|
Brief
|
Example
|
| Averageif
|
Calculate the mean of values that satisfies a specified condition.
|
Example
|
| Countif
|
Counts the number of values that satisfies a specified condition.
|
Example
|
| Sumif
|
Calculate the sum of a (sub-)range of a vector that satisfies a specified condition.
|
Example
|
Data Manipulation
| Name
|
Brief
|
Example
|
| Ave
|
Breaks dataset into groups of size size, finds the average for each group, and returns a range containing these values.
|
Example
|
| Diff
|
Returns a dataset that contains the difference between adjacent elements in dataset.
|
|
| Sum
|
Returns a range whose i th element is the sum of the first i elements of the dataset dataset.
|
Example
|
Estimation
| Name
|
Brief
|
| Kernelwidth
|
Returns the estimated optimal kernel bandwidth for a given vector vX.
|
| Kernel2width
|
Returns the 2D kernel density bandwidths (wx, wy) of X scale and Y scale for dataset (vx, vy) using two different methods.
|
| Gamfit
|
Use Newton-Raphson method to calculate Maximum Likelihood Estimates (MLE) of \(\alpha\) (shape) and \(\sigma\) (scale) for Gamma distributed dataset.
|
| Wblfit
|
Uses Newton-Raphson method to calculate Maximum Likelihood Estimates (MLE) of \(\alpha\) (scale) and \(\beta\) (shape) for Weibull distributed dataset \(vx\).
|
Time Series
| Name
|
Brief
|
Example
|
| Emovavg
|
This function returns exponential moving averages.
|
Example
|
| Mmovavg
|
This function returns modified moving averages.
|
Example
|
| Movavg
|
This function returns the average of adjacent ranges.
|
Example
|
| Movslope
|
This function returns a vector to calculate the moving slope at each point with a window width of nPt.
|
Example
|
| Movrms
|
This function returns a vector to calculate the root mean square(rms) of adjacent ranges.
|
Example
|
| Tmovavg
|
This function returns triangular moving averages.
|
Example
|
| Wmovavg
|
This function returns weighted moving averages.
|
Example
|
| MovCoef
|
This function returns a vector of moving correlation coefficients.
|
Example
|
Advanced
| Name
|
Brief
|
Example
|
| Confidence
|
Returns the confidence interval for a population mean.
|
Example
|
| Geomean
|
Geometric Mean
|
Example
|
| Geosd
|
Geometric SD
|
Example
|
| Harmean
|
Harmonic Mean
|
Example
|
| Histogram
|
The histogram(dataset, inc, min, max) function generates data bins from dataset in the specified range from min to max.
|
|
| Kurt
|
Returns the kurtosis of the specified dataset.
|
Example
|
| lcl
|
Returns the lower confidence limit. level is 0.95 by default.
|
Example
|
| Mad
|
Mean Absolute Deviation
|
Example
|
| mode
|
returns the most frequently occurring number
|
Example
|
| modes
|
returns an array of the most frequently occurring numbers
|
Example
|
| Percentile
|
Returns a range comprised of the percentile values for dataset1 at each percent value specified in dataset2.
|
Example
|
| QCD2
|
Returns a factor (Quality Control D2 Factor)
|
Example
|
| QCD3
|
Returns a factor. (Quality Control D3 Factor)
|
Example
|
| QCD4
|
Returns a factor. (Quality Control D4 Factor)
|
Example
|
| Skew
|
Returns the skewness of a distribution.
|
Example
|
| ucl
|
Returns the upper confidence limit. level is 0.95 by default.
|
Example
|