In statistics, data transformation is the application of a deterministic mathematical function to each point in a data set — that is, each data point \(z_i\) is replaced with the transformed value \(y_i = f(z_i)\), where f is a function. Transforms are usually applied so that the data appear to more closely meet the assumptions of a statistical inference procedure that is to be applied, or to improve the interpret-ability or appearance of graphs.
Articles
NDK_ADD
C/C++
.Net
int __stdcall NDK_ADD
(
double *
X,
size_t
N1,
const double *
Y,
size_t...
NDK_DIFF
C/C++
.Net
int __stdcall NDK_DIFF
(
double *
X,
size_t
N,
size_t
S,
size_t
...
NDK_BOXCOX
C/C++
.Net
int __stdcall NDK_BOXCOX
(
double *
X,
size_t
N,
double *
lambda,
doubl...
NDK_CLOGLOG
C/C++
.Net
int __stdcall NDK_CLOGLOG
(
double *
X,
size_t
N,
WORD
retTYpe
)
...
NDK_PROBIT
C/C++ .Net int __stdcall NDK_PROBIT ( double * X, size_t N, WORD retTYpe ) Computes the probit transformation, including its inverse. Parameters [in,out] X is the univariate time se...
NDK_DETREND
C/C++
.Net
int __stdcall NDK_DETREND
(
double *
X,
size_t
N,
WORD
polyOrder
)
...
NDK_INTEG
C/C++
.Net
int __stdcall NDK_INTEG
(
double *
X,
size_t
N,
size_t
S,
size_t
...
NDK_SCALE
C/C++
.Net
int __stdcall NDK_SCALE
(
double *
X,
size_t
N,
double
K
)
...
NDK_INTERP_NAN
C/C++
.Net
int __stdcall NDK_INTERP_NAN
(
double *
X,
size_t
N,
WORD
nMethod,
doub...
NDK_LAG
C/C++
.Net
int __stdcall NDK_LAG
(
double *
X,
size_t
N,
size_t
K
)
...
NDK_LOGIT
C/C++ .Net int __stdcall NDK_LOGIT ( double * X, size_t N, WORD retTYpe ) Computes the logit transformation, including its inverse. Parameters [in,out] X is the univariate time seri...
NDK_REVERSE
C/C++
.Net
int __stdcall NDK_REVERSE
(
double *
X,
size_t
N
)
Returns the time-reversed ...
NDK_RMNA
C/C++
.Net
int __stdcall NDK_RMNA
(
double *
X,
size_t *
N
)
Returns an array of cells o...
NDK_RMSEASONAL
C/C++
.Net
int __stdcall NDK_RMSEASONAL
(
double *
X,
size_t
N,
size_t
period
)
...
NDK_SUB
C/C++
.Net
int __stdcall NDK_SUB
(
double *
X,
size_t
N1,
const double *
Y,
size_t...