Tabular data array containing multiple columnar variables.

See table.

Convert an array to a table.

See array2table.

Convert a cell array to a table.

See cell2table.

Convert struct to a table.

See struct2table.

See tableOuterFillValue.

Filter by variable type for use in suscripting.

See vartype.

True if input is a ‘table’ array or other table-like type, false otherwise.

See istable.

True if input is a ‘timetable’ array or other timetable-like type, false otherwise.

See istimetable.

True if input is eitehr a ‘table’ or ‘timetable’ array, or an object like them.

See istabular.

Evaluate an expression against a table array’s variables.

See tblish.evalWithTableVars.

Statistics by group for a table array.

See tblish.table.grpstats.

A string array of Unicode strings.

See string.

“Not-a-String".

See NaS.

Test if strings contain a pattern.

See contains.

Display strings for array.

See dispstrs.

Categorical variable array.

See categorical.

True if input is a ‘categorical’ array, false otherwise.

See iscategorical.

“Not-a-Categorical".

See NaC.

Group data into discrete bins or categories.

See discretize.

Represents points in time using the Gregorian calendar.

See datetime.

“Not-a-Time”.

See NaT.

Convert input to a Tablicious datetime array, with convenient interface.

See todatetime.

Represents a complete day using the Gregorian calendar.

See localdate.

True if input is a ‘datetime’ array, false otherwise.

See isdatetime.

Durations of time using variable-length calendar periods, such as days, months, and years, which may vary in length over time.

See calendarDuration.

True if input is a ‘calendarDuration’ array, false otherwise.

See iscalendarduration.

Create a ‘calendarDuration’ that is a given number of calendar months long.

See calmonths.

Construct a ‘calendarDuration’ a given number of years long.

See calyears.

Duration in days.

See days.

Represents durations or periods of time as an amount of fixed-length time (i.e.

See duration.

Create a ‘duration’ X hours long, or get the hours in a ‘duration’ X.

See hours.

True if input is a ‘duration’ array, false otherwise.

See isduration.

Create a ‘duration’ X milliseconds long, or get the milliseconds in a ‘duration’ X.

See milliseconds.

Create a ‘duration’ X hours long, or get the hours in a ‘duration’ X.

See minutes.

Create a ‘duration’ X seconds long, or get the seconds in a ‘duration’ X.

See seconds.

List all the time zones defined on this system.

See timezones.

Create a ‘duration’ X years long, or get the years in a ‘duration’ X.

See years.

Generic auto-converting missing value.

See missing.

Test if elements are NaN or NaN-like

See isnanny.

Determine element-wise equality, treating NaNs as equal

See eqn.

See mustBeA.

See mustBeCellstr.

See mustBeCharvec.

See mustBeFinite.

See mustBeInteger.

See mustBeMember.

See mustBeNonempty.

See mustBeNumeric.

See mustBeReal.

See mustBeSameSize.

See mustBeScalar.

See mustBeScalarLogical.

See mustBeVector.

Apply a function to column vectors in array.

See colvecfun.

Display strings for array.

See dispstrs.

Get first K rows of an array.

See head.

See isfile.

See isfolder.

Alias for prettyprint, for interactive use.

See pp.

Expand scalar inputs to match size of non-scalar inputs.

See scalarexpand.

Format an array size for display.

See size2str.

Split data into groups and apply function.

See splitapply.

Get last K rows of an array.

See tail.

Apply function to vectors in array along arbitrary dimension.

See vecfun.

Approximate size of an array in bytes, with object support.

See tblish.sizeof2.

Example dataset collection.

See tblish.datasets.

The ‘tblish.dataset’ class provides convenient access to the various datasets included with Tablicious.

See tblish.dataset.

Conditioning plot.

See tblish.examples.coplot.

Plot pairs of variables against each other.

See tblish.examples.plot_pairs.

The classic Suppliers-Parts example database.

See tblish.examples.SpDb.

Create a ‘calendarDuration’ that is a given number of calendar days long.

See caldays.