Methods
(static) absolutePercentile(percentile, inArr) → (non-null) {number}
Finds an array element representing the given percentile.
Parameters:
Name | Type | Description |
---|---|---|
percentile |
number | Percentile to find in the given array (0 <= percentile <= 100) |
inArr |
Array.<number> | Array to find the percentile element in |
- Source:
Returns:
A numerical value that is a part of the input array representing the given percentile
- Type
- number
(static) correlation(inArr1, inArr2) → {number}
Evaluates statistical correlation of two arrays.
Parameters:
Name | Type | Description |
---|---|---|
inArr1 |
Array.<number> | The first array to find correlation for |
inArr2 |
Array.<number> | The second array to find correlation for |
- Source:
Returns:
Numerical value representing the correlation of the 2 arrays
- Type
- number
(static) geometricMean(inArr) → {number}
Evaluates statistical geometric mean of an array.
Parameters:
Name | Type | Description |
---|---|---|
inArr |
Array.<number> | The array to find geometric mean for. |
- Source:
Returns:
Numerical value representing the geometric mean of all array elements
- Type
- number
(static) geometricSum(inArr) → {number}
Evaluates geometric sum of an array.
Parameters:
Name | Type | Description |
---|---|---|
inArr |
Array.<number> | The array to sum |
- Source:
Returns:
Numerical value representing the geometric sum of all array elements
- Type
- number
(static) mean(inArr) → {number}
Evaluates statistical mean of an array.
Parameters:
Name | Type | Description |
---|---|---|
inArr |
Array.<number> | The array to find mean for. |
- Source:
Returns:
Numerical value representing the mean of all array elements
- Type
- number
(static) median(inArr) → {number}
Evaluates statistical median of an array.
Parameters:
Name | Type | Description |
---|---|---|
inArr |
Array.<number> | The array to find median for. |
- Source:
Returns:
Numerical value representing the median of all array elements
- Type
- number
(static) mode(inArr) → {number}
Evaluates statistical mode of an array.
Parameters:
Name | Type | Description |
---|---|---|
inArr |
Array.<number> | The array to find mode for. |
- Source:
Returns:
Numerical value representing the mode of all array elements
- Type
- number
(static) percentile(val, inArr, opt) → {number}
Evaluates the percentile of a given value and a sample or population dataset array.
Parameters:
Name | Type | Description |
---|---|---|
val |
number | Value to find percentile for |
inArr |
Array.<number> | The array representing the population or sample |
opt |
Object | Option denoting if a population or a sample is provided |
- Source:
Returns:
Numerical value representing the percentile the given value in the context of the dataset
- Type
- number
(static) percentileFromMeanAndStdev(val, mean, stdev) → {number}
Evaluates the percentile of a given value and a sample or population dataset array.
Parameters:
Name | Type | Description |
---|---|---|
val |
number | Value to find percentile for |
mean |
number | The value representing mean of the dataset |
stdev |
number | The value representing standard deviation of the dataset |
- Source:
Returns:
Numerical value representing the percentile the given value in the context of the dataset
- Type
- number
(static) stdev(inArr, opt) → {number}
Evaluates statistical standard deviation of an array.
Parameters:
Name | Type | Description |
---|---|---|
inArr |
Array.<number> | The array to find standard deviation for |
opt |
Object | Option denoting if a population or a sample is provided |
- Source:
Returns:
Numerical value representing the standard deviation of all array elements
- Type
- number
(static) sum(inArr) → {number}
Evaluates sum of an array.
Parameters:
Name | Type | Description |
---|---|---|
inArr |
Array.<number> | The array to sum |
- Source:
Returns:
Numerical value representing the sum of all array elements
- Type
- number
(static) zScore(val, inArr, opt) → {number}
Evaluates the Z score of a given value and a sample or population dataset array.
Parameters:
Name | Type | Description |
---|---|---|
val |
number | Value to find Z score for |
inArr |
Array.<number> | The array representing the population or sample |
opt |
Object | Option denoting if a population or a sample is provided |
- Source:
Returns:
Numerical value representing the Z score the given value in the context of the dataset
- Type
- number
(static) zScorePercentile(score) → {number}
Evaluates the percentile of a given Z score, maximum is [-3.99, 3.99]. If the value is too large
or too small, it goes to the nearest valid Z score.
Parameters:
Name | Type | Description |
---|---|---|
score |
number | Z score to find percentile for |
- Source:
Returns:
Numerical value representing the percentile the given Z score
- Type
- number