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Function Reference
1010data Insights Platform offers a rich set of functions that may be used in value expressions when creating computed columns and in selection expressions when performing row selections.
Math functions
Math functions are vector functions that perform mathematical operations on one or more columns and return a column of results based on the operation.
Factorial
gammainc(A;X)
Returns the incomplete gamma function of the given values.

Function Reference
1010data Insights Platform offers a rich set of functions that may be used in value expressions when creating computed columns and in selection expressions when performing row selections.
- All 1010data Functions
  1010data provides a whole range of functions that can provide information and act on your data.
- Time/Date functions
  The time/date functions are vector functions that operate on columns containing time-related data and return specific information about the date/time for each row.
- Group functions (g_functions)
  Group functions, or g_functions, are used to perform operations, such as summarizations, on rows that have the same values in a set of given columns.
- Math functions
  Math functions are vector functions that perform mathematical operations on one or more columns and return a column of results based on the operation.
  - General
  - Exponential
  - Trigonometric
  - Factorial
    - betainc(A;B;X)
      Returns the regularized incomplete beta function of the given values.
    - fact(X)
      Returns the factorial of a given value.
    - gamma(X)
      Returns the gamma function of the given value.
    - gammainc(A;X)
      Returns the incomplete gamma function of the given values.
    - logfact(X)
      Returns the natural log of the factorial of a given value.
    - loggamma(X)
      Returns the natural log of the gamma function of the given value.
  - Statistical
  - Bitwise
- Matrix functions
- Categorization functions
  Categorization functions are vector functions that organize data and determine logical groupings. These functions can be used for conditionalizing results and/or bucketing value ranges.
- String functions
  String functions are vector functions that manipulate vectors of strings to provide information about a string or substring, concatenate and split strings, or transform strings based on specified criteria.
- List functions
  List functions are scalar functions that return lists, subsets of lists, and combinations of lists, among other functionality. Lists, along with packages, are compound scalar data types that facilitate programmatic interaction with scalar data values and variables.
- Data-handling functions
  Data-handling functions are vector functions that return a hash value based on an input column or columns.
- Row functions
  Row functions are vector functions that return computational outputs for row inputs, as opposed to column outputs. Row inputs are defined as a space- or comma-separated list of column names.
- SQL compatibility functions
  SQL compatibility functions are functions that treat null values as SQL nulls.
- Financial functions
- System functions
  System functions are special functions in 1010data that return information about users, tables, and other system objects.
- Object functions
  The object functions can be used to check the existence, type, and accessibility of objects such as folders, tables, and queries on the 1010data Insights Platform.
- Miscellaneous functions
  This category of functions contains special functions that don't neatly fit into other categories of functions.

`gammainc(A;X)`

Returns the incomplete gamma function of the given values.

Syntax

gammainc(A;X)

Input

Argument	Type	Description
`A`	integer or decimal	A numeric value
`X`	integer or decimal	A numeric value

Return Value

Returns a decimal number corresponding to the incomplete gamma function of X and A.

If X is 0, the result is 0.

If X is negative, the result is N/A.

If A or X is N/A, the result is N/A.

Sample Usage


`A`	`X`	`gammainc(A;X)`
2	0	0
2	1	0.2642411
2	2	0.5939941
2	3	0.8008517
2	4	0.9084218
2	5	0.9595723
2	6	0.9826487
2	7	0.9927049
2	8	0.9969808
2	9	0.9987659
2	10	0.9995006
2	NA	NA