vslSSEditTask

Developer Reference for Intel® oneAPI Math Kernel Library for C

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ID 766684

Date 3/31/2023

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vslSSEditTask

Modifies address of an input/output parameter in the task descriptor.

Syntax

status = vslsSSEditTask(task, parameter, par_addr);

status = vsldSSEditTask(task, parameter, par_addr);

status = vsliSSEditTask(task, parameter, par_addr);

Include Files

mkl.h

Input Parameters

Name	Type	Description
task	VSLSSTaskPtr	Descriptor of the task
parameter	const MKL_INT	Parameter to change
par_addr	const float* for vslsSSEditTask const double* for vsldSSEditTask const MKL_INT* for vsliSSEditTask	Address of the new parameter

Name

Type

Description

task

VSLSSTaskPtr

Descriptor of the task

parameter

const MKL_INT

Parameter to change

par_addr

const float* for vslsSSEditTask

const double* for vsldSSEditTask

const MKL_INT* for vsliSSEditTask

Address of the new parameter

Output Parameters

Name	Type	Description
status	int	Current status of the task

Description

The vslSSEditTask routine replaces the pointer to the parameter stored in the Summary Statistics task descriptor with the par_addr pointer. If you pass the NULL pointer to the editor, no changes take place in the task and a corresponding error code is returned. See Table "Parameters of Summary Statistics Task to Be Initialized or Modified" for the predefined values of the parameter.

Use the single (vslsssedittask) or double (vsldssedittask) version of the editor, to initialize single or double precision version task parameters, respectively. Use an integer version of the editor (vslissedittask) to initialize parameters of the integer type.

Parameters of Summary Statistics Task to Be Initialized or Modified
Parameter Value	Type	Purpose	Initialization
VSL_SS_ED_DIMEN	i	Address of a variable that holds the task dimension	Required. Positive integer value.
VSL_SS_ED_OBSERV_N	i	Address of a variable that holds the number of observations	Required. Positive integer value.
VSL_SS_ED_OBSERV	d, s	Address of the observation matrix	Required. Provide the matrix containing your observations.
VSL_SS_ED_OBSERV_STORAGE	i	Address of a variable that holds the storage format for the observation matrix	Required. Provide a storage format supported by the library whenever you pass a matrix of observations.¹
VSL_SS_ED_INDC	i	Address of the array of indices	Optional. Provide this array if you need to process individual components of the random vector. Set entry `i` of the array to one to include the `i`th coordinate in the analysis. Set entry `i` of the array to zero to exclude the `i`th coordinate from the analysis.
VSL_SS_ED_WEIGHTS	d, s	Address of the array of observation weights	Optional. If the observations have weights different from the default weight (one), set entries of the array to non-negative floating point values.
VSL_SS_ED_MEAN	d, s	Address of the array of means	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array.
VSL_SS_ED_2R_MOM	d, s	Address of an array of raw moments of the second order	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array.
VSL_SS_ED_3R_MOM	d, s	Address of an array of raw moments of the third order	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array.
VSL_SS_ED_4R_MOM	d, s	Address of an array of raw moments of the fourth order	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array.
VSL_SS_ED_2C_MOM	d, s	Address of an array of central moments of the second order	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array. Make sure you also provide arrays for raw moments of the first and second order.
VSL_SS_ED_3C_MOM	d, s	Address of an array of central moments of the third order	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array. Make sure you also provide arrays for raw moments of the first, second, and third order.
VSL_SS_ED_4C_MOM	d, s	Address of an array of central moments of the fourth order	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array. Make sure you also provide arrays for raw moments of the first, second, third, and fourth order.
VSL_SS_ED_KURTOSIS	d, s	Address of the array of kurtosis estimates	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array. Make sure you also provide arrays for raw moments of the first, second, third, and fourth order.
VSL_SS_ED_SKEWNESS	d, s	Address of the array of skewness estimates	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array. Make sure you also provide arrays for raw moments of the first, second, and third order.
VSL_SS_ED_MIN	d, s	Address of the array of minimum estimates	Optional. Set entries of array to meaningful values, such as the values of the first observation.
VSL_SS_ED_MAX	d, s	Address of the array of maximum estimates	Optional. Set entries of array to meaningful values, such as the values of the first observation.
VSL_SS_ED_VARIATION	d, s	Address of the array of variation coefficients	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array. Make sure you also provide arrays for raw moments of the first and second order.
VSL_SS_ED_COV	d, s	Address of a covariance matrix	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Make sure you also provide an array for the mean.
VSL_SS_ED_COV_STORAGE	i	Address of the variable that holds the storage format for a covariance matrix	Required. Provide a storage format supported by the library whenever you intend to compute the covariance matrix.²
VSL_SS_ED_COR	d, s	Address of a correlation matrix	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. If you initialize the matrix in non-trivial way, make sure that the main diagonal contains variance values. Also, provide an array for the mean.
VSL_SS_ED_COR_STORAGE	i	Address of the variable that holds the correlation storage format for a correlation matrix	Required. Provide a storage format supported by the library whenever you intend to compute the correlation matrix.²
VSL_SS_ED_ACCUM_WEIGHT	d, s	Address of the array of size 2 that holds the accumulated weight (sum of weights) in the first position and the sum of weights squared in the second position	Optional. Set the entries of the matrix to meaningful values (typically zero) if you intend to do progressive processing of the dataset or need the sum of weights and sum of squared weights assigned to observations.
VSL_SS_ED_QUANT_ORDER_N	i	Address of the variable that holds the number of quantile orders	Required. Positive integer value. Provide the number of quantile orders whenever you compute quantiles.
VSL_SS_ED_QUANT_ORDER	d, s	Address of the array of quantile orders	Required. Set entries of array to values from the interval (0,1). Provide this parameter whenever you compute quantiles.
VSL_SS_ED_QUANT_QUANTILES	d, s	Address of the array of quantiles	None.
VSL_SS_ED_ORDER_STATS	d, s	Address of the array of order statistics	None.
VSL_SS_ED_GROUP_INDC	i	Address of the array of group indices used in computation of a pooled covariance matrix	Required. Set entry `i` to integer value `k` if the observation belongs to group `k`. Values of `k` take values in the range [0, `g`-1], where `g` is the number of groups.
VSL_SS_ED_POOLED_COV_STORAGE	i	Address of a variable that holds the storage format for a pooled covariance matrix	Required. Provide a storage format supported by the library whenever you intend to compute pooled covariance.²
VSL_SS_ED_POOLED_MEAN	d, s	Address of an array of pooled means	None.
VSL_SS_ED_POOLED_COV	d, s	Address of pooled covariance matrices	None.
VSL_SS_ED_GROUP_COV_INDC	i	Address of an array of indices for which covariance/means should be computed	Optional. Set the `k`th entry of the array to 1 if you need group covariance and mean for group `k`; otherwise set it to zero.
VSL_SS_ED_REQ_GROUP_INDC	i	Address of an array of indices for which group estimates such as covariance or means are requested	Optional. Set the `k`th entry of the array to 1 if you need an estimate for group `k`; otherwise set it to zero.
VSL_SS_ED_GROUP_MEANS	i	Address of an array of group means	None.
VSL_SS_ED_GROUP_COV_STORAGE	d, s	Address of a variable that holds the storage format for a group covariance matrix	Required. Provide a storage format supported by the library whenever you intend to get group covariance.²
VSL_SS_ED_GROUP_COV	d, s	Address of group covariance matrices	None.
VSL_SS_ED_ROBUST_COV_STORAGE	d, s	Address of a variable that holds the storage format for a robust covariance matrix	Required. Provide a storage format supported by the library whenever you compute robust covariance².
VSL_SS_ED_ROBUST_COV_PARAMS_N	i	Address of a variable that holds the number of algorithmic parameters of the method for robust covariance estimation	Required. Set to the number of TBS parameters, VSL_SS_TBS_PARAMS_N.
VSL_SS_ED_ROBUST_COV_PARAMS	d, s	Address of an array of parameters of the method for robust estimation of a covariance	Required. Set the entries of the array according to the description in vslSSEditRobustCovariance.
VSL_SS_ED_ROBUST_MEAN	i	Address of an array of robust means	None.
VSL_SS_ED_ROBUST_COV	d, s	Address of a robust covariance matrix	None.
VSL_SS_ED_OUTLIERS_PARAMS_N	d, s	Address of a variable that holds the number of parameters of the outlier detection method	Required. Set to the number of outlier detection parameters, VSL_SS_BACON_PARAMS_N.
VSL_SS_ED_OUTLIERS_PARAMS	i	Address of an array of algorithmic parameters for the outlier detection method	Required. Set the entries of the array according to the description in vslSSEditOutliersDetection.
VSL_SS_ED_OUTLIERS_WEIGHT	d, s	Address of an array of weights assigned to observations by the outlier detection method	None.
VSL_SS_ED_ORDER_STATS_STORAGE	d, s	Address of a variable that holds the storage format of an order statistics matrix	Required. Provide a storage format supported by the library whenever you compute a matrix of order statistics.¹
VSL_SS_ED_PARTIAL_COV_IDX	i	Address of an array that encodes subcomponents of a random vector	Required. Set the entries of the array according to the description in vslSSEditPartialCovCor.
VSL_SS_ED_PARTIAL_COV	d, s	Address of a partial covariance matrix	None.
VSL_SS_ED_PARTIAL_COV_STORAGE	i	Address of a variable that holds the storage format of a partial covariance matrix	Required. Provide a storage format supported by the library whenever you compute the partial covariance.²
VSL_SS_ED_PARTIAL_COR	d, s	Address of a partial correlation matrix	None.
VSL_SS_ED_PARTIAL_COR_STORAGE	i	Address of a variable that holds the storage format for a partial correlation matrix	Required. Provide a storage format supported by the library whenever you compute the partial correlation.²
VSL_SS_ED_MI_PARAMS_N	i	Address of a variable that holds the number of algorithmic parameters for the Multiple Imputation method	Required. Set to the number of MI parameters, VSL_SS_MI_PARAMS_SIZE.
VSL_SS_ED_MI_PARAMS	d, s	Address of an array of algorithmic parameters for the Multiple Imputation method	Required. Set entries of the array according to the description in vslSSEditMissingValues.
VSL_SS_ED_MI_INIT_ESTIMATES_N	i	Address of a variable that holds the number of initial estimates for the Multiple Imputation method	Optional. Set to `p`+`p`*(`p`+1)/2, where `p` is the task dimension.
VSL_SS_ED_MI_INIT_ESTIMATES	d, s	Address of an array of initial estimates for the Multiple Imputation method	Optional. Set the values of the array according to the description in "Basic Components of the Multiple Imputation Function in Summary Statistics" in the Intel® oneAPI Math Kernel Library Summary Statistics Application Notes document [SS Notes].
VSL_SS_ED_MI_SIMUL_VALS_N	i	Address of a variable that holds the number of simulated values in the Multiple Imputation method	Optional. Positive integer indicating the number of missing points in the observation matrix.
VSL_SS_ED_MI_SIMUL_VALS	d, s	Address of an array of simulated values in the Multiple Imputation method	None.
VSL_SS_ED_MI_ESTIMATES_N	i	Address of a variable that holds the number of estimates obtained as a result of the Multiple Imputation method	Optional. Positive integer number defined according to the description in "Basic Components of the Multiple Imputation Function in Summary Statistics" in the Intel® oneAPI Math Kernel Library Summary Statistics Application Notes document [SS Notes].
VSL_SS_ED_MI_ESTIMATES	d, s	Address of an array of estimates obtained as a result of the Multiple Imputation method	None.
VSL_SS_ED_MI_PRIOR_N	i	Address of a variable that holds the number of prior parameters for the Multiple Imputation method	Optional. If you pass a user-defined array of prior parameters, set this parameter to (`p`²+3*`p`+4)/2, where `p` is the task dimension.
VSL_SS_ED_MI_PRIOR	d, s	Address of an array of prior parameters for the Multiple Imputation method	Optional. Set entries of the array of prior parameters according to the description in "Basic Components of the Multiple Imputation Function in Summary Statistics" in the Intel® oneAPI Math Kernel Library Summary Statistics Application Notes document [SS Notes].
VSL_SS_ED_PARAMTR_COR	d, s	Address of a parameterized correlation matrix	None.
VSL_SS_ED_PARAMTR_COR_STORAGE	i	Address of a variable that holds the storage format of a parameterized correlation matrix	Required. Provide a storage format supported by the library whenever you compute the parameterized correlation matrix.²
VSL_SS_ED_STREAM_QUANT_PARAMS_N	i	Address of a variable that holds the number of parameters of a quantile computation method for streaming data	Required. Set to the number of quantile computation parameters, VSL_SS_SQUANTS_ZW_PARAMS_N.
VSL_SS_ED_STREAM_QUANT_PARAMS	d, s	Address of an array of parameters of a quantile computation method for streaming data	Required. Set the entries of the array according to the description in "Computing Quantiles for Streaming Data" in the Intel® oneAPI Math Kernel Library Summary Statistics Application Notes document [SS Notes].
VSL_SS_ED_STREAM_QUANT_ORDER_N	i	Address of a variable that holds the number of quantile orders for streaming data	Required. Positive integer value.
VSL_SS_ED_STREAM_QUANT_ORDER	d, s	Address of an array of quantile orders for streaming data	Required. Set entries of the array to values from the interval (0,1). Provide this parameter whenever you compute quantiles.
VSL_SS_ED_STREAM_QUANT_QUANTILES	d, s	Address of an array of quantiles for streaming data	None.
VSL_SS_ED_SUM	d, s	Address of array of sums	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array.
VSL_SS_ED_2R_SUM	d, s	Address of array of raw sums of 2nd order	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array.
VSL_SS_ED_3R_SUM	d, s	Address of array of raw sums of 3rd order	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array.
VSL_SS_ED_4R_SUM	d, s	Address of array of raw sums of 4th order	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array.
VSL_SS_ED_2C_SUM	d, s	Address of array of central sums of 2nd order	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array.
VSL_SS_ED_3C_SUM	d, s	Address of array of central sums of 3rd order	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array.
VSL_SS_ED_4C_SUM	d, s	Address of array of central sums of 4th order	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array.
VSL_SS_ED_CP	d, s	Address of cross-product matrix	Optional. Set entries of the array to meaningful values (typically zero) if you intend to compute a progressive estimate. Otherwise, do not initialize the array.
VSL_SS_ED_MDAD	d, s	Address of array of median absolute deviations	None.
VSL_SS_ED_MNAD	d, s	Address of array of mean absolute deviations	None.
VSL_SS_ED_SORTED_OBSERV	d, s	Address of the array that stores sorted results	None.
VSL_SS_ED_SORTED_OBSERV_STORAGE	i	Address of a variable that holds the storage format of an output matrix	Required. Provide a supported storage format whenever you specify sorting of the observation matrix.

See Table: "Storage format of matrix of observations and order statistics" for storage formats.
See Table: "Storage formats of a variance-covariance/correlation matrix" for storage formats.

Parent topic: Summary Statistics Task Editors

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Developer Reference for Intel® oneAPI Math Kernel Library for C

vslSSEditTask