Data types#

Dataframes#

asdf	Converts a matrix or string array to a dataframe, and optionally sets the column names.
asMatrix	Converts a dataframe to a matrix.
dfappend	Vertically conacatenates (or stacks) two dataframes.
dfname	Sets the variable names of the columns of a dataframe.
dftype	Sets the types (numeric, categorical, date or string) of a dataframe.
getcolnames	Returns the names of the columns (or variables) in a GAUSS dataframe.
getColTypes	Returns the types for the columns (or variables) in a GAUSS dataframe.
hasMetaData	Checks to see if a symbol is a dataframe.
setcolmetadata	Sets the variable names and types for the columns of a dataframe.
setcolnames	Sets the variable names the columns of a dataframe.

asDate	Converts vectors in Posix time or string dates to a GAUSS date variable and optionally sets the date display format.
dtDayName	Extracts the day from a date/time variable as a string name.
dtDayofMonth	Extracts the day of the month from a date/time variable as a decimal number (1-31).
dtDayofWeek	Extracts the day of the week from a date/time variable as a decimal number.
dtDayofYear	Extracts the day of the year from a date/time variable as a decimal number (1-366).
dtHour	Extracts the hour from a date/time variable as a number (1-12 or 1-24).
dtMinute	Extracts the minute from a date/time variable as a number (0-59).
dtMonth	Extracts the month from a date/time variable as a decimal number(1-12).
dtMonthName	Extracts the month from a date/time variable as a string name.
dtQuarter	Extracts the quarter from a date/time variable (1-4).
dtSecond	Extracts the seconds from a date/time variable as a number (0-59).
dtWeek	Extracts the week from a date/time variable as a number (0-53).
dtYear	Extracts the year from a date/time variable as a number.
getColDateFormats	Gets BSD strftime format specifiers for specified columns of a dataframe.
setColDateFormats	Specifies how GAUSS should display dates using the BSD strftime format specifiers. Note that this will also convert the type of the columns specified by column to Date.

dropCategories	Removes categories from the variable and the meta data. Resets the keyvalues and labels for the variable.
dropUnusedCategories	Removes categories from the meta data of a dataframe that are not present in the current variable.
getCategories	Returns the unique set of column labels as a dataframe.
getcollabels	Returns the unique set of column labels and corresponding key values for a categorical variable.
recodeCatLabels	Change categorical variable labels.
reorderCatLabels	Change the order of categorical variable labels.
setBaseCat	Sets a category in a categorical variable to be the base case.
setBaseCat	Sets a category in a categorical variable to be the base case.
startsWith	Returns a 1 if a string starts with a specified pattern.

eye	Creates identity matrix.
matalloc	Allocates a matrix with unspecified contents.
matinit	Allocates a matrix with specified fill value.
ones	Creates a matrix of ones.
zeros	Creates a matrix of zeros.

cols	Returns number of columns in a matrix.
colsf	Returns number of columns in an open data set.
maxc	Returns largest element in each column of a matrix.
minc	Returns smallest element in each column of a matrix.
rows	Returns number of rows in a matrix.
rowsf	Returns number of rows in an open data set.

diag	Extracts the diagonal of a matrix.
diagrv	Puts a column vector into the diagonal of a matrix.
lowmat, lowmat1	Returns the lower triangle of a matrix with the main diagonal or a diagonal of ones.
upmat, upmat1	Returns the upper triangle of a matrix with the main diagonal or a diagonal of ones.

complex	Creates a complex matrix from two real matrices.
hasimag	Tests whether the imaginary part of a complex matrix is negligible.
imag	Returns the imaginary part of a complex matrix.
iscplx	Tests whether a matrix is complex.
real	Returns the real part of a complex matrix.

aconcat	Concatenates conformable matrices and arrays in a user-specified dimension.
aeye	Creates an N-dimensional array in which the planes described by the two trailing dimensions of the array are equal to the identity.
areshape	Reshapes a scalar, matrix, or array into an array of user-specified size.
arrayalloc	Creates an N-dimensional array with unspecified contents.
arrayinit	Creates an N-dimensional array with a specified fill value.
mattoarray	Converts a matrix to a type array.
squeeze	Remove any singleton dimensions from a multi-dimensional array.

amax	Moves across one dimension of an N-dimensional array and finds the largest element.
amin	Moves across one dimension of an N-dimensional array and finds the smallest element.
getdims	Gets the number of dimensions in an array.
getorders	Gets the vector of orders corresponding to an array.

arrayindex	Converts a scalar vector index to a vector of indices for an N-dimensional array.
getarray	Gets a contiguous subarray from an N-dimensional array.
getmatrix	Gets a contiguous matrix from an N-dimensional array.
getmatrix4D	Gets a contiguous matrix from a 4-dimensional array.
getscalar3D	Gets a scalar from a 3-dimensional array.
getscalar4D	Gets a scalar from a 4-dimensional array.
loopnextindex	Increments an index vector to the next logical index and jumps to the specified label if the index did not wrap to the beginning.
nextindex	Returns the index of the next element or subarray in an array.
previousindex	Returns the index of the previous element or subarray in an array.
singleindex	Converts a vector of indices for an N-dimensional array to a scalar vector index.
walkindex	Walks the index of an array forward or backward through a specified dimension.

aconcat	Concatenates conformable matrices and arrays in a user-specified dimension.
areshape	Reshapes a scalar, matrix, or array into an array of user-specified size.
atranspose	Transposes an N-dimensional array.
arraytomat	Changes an array to type matrix.
putarray	Puts a contiguous subarray into an N-dimensional array and returns the resulting array.

amean	Computes the mean across one dimension of an N-dimensional array.
asum	Computes the sum across one dimension of an N-dimensional array.
astd	Computes the standard deviation of the elements across one dimension of an N-dimensional array.