## labels

Deprecated: use labelsDataset

## labels

Deprecated: use labelsDataSet

## labelsDataset

labelsDataset( String[] labels, String context ) → QDataSet

create a labels dataset for tagging rows of a dataset. If the context has been used already, including "default", then the EnumerationUnit for the data will be preserved. labelsDataset(['red','green','blue'],'default') will always return an equivalent (and comparable) result during a session. Example: `dep1= labelsDataset( ['X','Y','Z'], 'GSM' )`

### Parameters

labels - array of string labels
context - the namespace for the labels, to provide control over String→int mapping.

### Returns:

rank 1 QDataSet
[search for examples] [view on GitHub] [view on old javadoc] [view source]

## labelsDataset

labelsDataset( String[] labels ) → QDataSet

create a labels dataset for tagging rows of a dataset. Example: array of string labels `dep1= labelsDataset( ['red','green','blue'] )`

### Parameters

labels - a java.lang.String[]

### Returns:

rank 1 QDataSet
[search for examples] [view on GitHub] [view on old javadoc] [view source]

## labelsDataset

labelsDataset( String label ) → QDataSet

create a rank 0 label dataset. `dep1= labelsDataset( 'Chicago' )`

### Parameters

label - the string label

### Returns:

rank 0 QDataSet
[search for examples] [view on GitHub] [view on old javadoc] [view source]

## labelsDataset

labelsDataset( String label, String context ) → QDataSet

create a rank 0 label dataset. `dep1= labelsDataset( 'Chicago', 'cities' )`

### Parameters

label - the string label
context - the namespace for the labels, to provide control over String→int mapping.

### Returns:

rank 0 QDataSet
[search for examples] [view on GitHub] [view on old javadoc] [view source]

## le

le( QDataSet ds1, QDataSet ds2 ) → QDataSet

element-wise function returns 1 where ds1<=ds2.

### Parameters

ds1 - a QDataSet
ds2 - a QDataSet

### Returns:

a QDataSet
[search for examples] [view on GitHub] [view on old javadoc] [view source]
le( Object ds1, Object ds2 ) → QDataSet [view source]

## lesserOf

lesserOf( QDataSet ds1, QDataSet ds2 ) → QDataSet

element-wise function returns the smaller of ds1 and ds2. If an element of ds1 or ds2 is fill, then the result is fill.

### Parameters

ds1 - a QDataSet
ds2 - a QDataSet

### Returns:

the smaller of the two, in the units of ds1.
[search for examples] [view on GitHub] [view on old javadoc] [view source]
lesserOf( Object ds1, Object ds2 ) → QDataSet [view source]

## link

link( QDataSet x, QDataSet y ) → QDataSet

link is the fundamental operator where we declare that one dataset is dependent on another. For example link(x,y) creates a new dataset where y is the dependent variable of the independent variable x. link is like the plot command, but doesn't plot. For example

>     plot(X,Y) shows a plot of Y(X),
>     link(X,Y) returns the dataset Y(X).

### Parameters

x - rank 1 dataset
y - rank 1 or rank 2 bundle dataset

### Returns:

rank 1 dataset with DEPEND_0 set to x.
[search for examples] [view on GitHub] [view on old javadoc] [view source]

## link

link( QDataSet x, QDataSet y, QDataSet z ) → QDataSet

link is the fundamental operator where we declare that one dataset is dependent on another. For example link(x,y,z) creates a new dataset where z is the dependent variable of the independent variables x and y. link is like the plot command, but doesn't plot. For example

>        plot(x,y,z) shows a plot of Z(X,Y),
>        link(x,y,z) returns the dataset Z(X,Y).

Note if z is a rank 1 dataset, then a bundle dataset Nx3 is returned, and names are assigned to the datasets

### Parameters

x - rank 1 dataset
y - rank 1 dataset
z - rank 1 or 2 dataset.

### Returns:

rank 1 or 2 dataset with DEPEND_0 and DEPEND_1 set to X and Y.
[search for examples] [view on GitHub] [view on old javadoc] [view source]

## link

link( QDataSet d0, QDataSet d1, QDataSet d2, QDataSet z ) → QDataSet

like bundle, but declare the last dataset is dependent on the first three.

### Parameters

d0 - rank 1 dataset
d1 - rank 1 dataset
d2 - rank 1 dataset
z - rank 1 or rank 3 dataset.

### Returns:

rank 2 bundle when z is rank 1, or a rank 3 dataset when z is rank 3.
[search for examples] [view on GitHub] [view on old javadoc] [view source]

## link

link( QDataSet d0, QDataSet d1, QDataSet d2, QDataSet d3, QDataSet z ) → QDataSet

like bundle, but declare the last dataset is dependent on the first three.

### Parameters

d0 - rank 1 dataset
d1 - rank 1 dataset
d2 - rank 1 dataset
d3 - rank 1 dataset
z - rank 1 or rank 4 dataset.

### Returns:

rank 2 bundle when z is rank 1, or a rank 3 dataset when z is rank 3.
[search for examples] [view on GitHub] [view on old javadoc] [view source]
link( Object x, Object y ) → QDataSet [view source]
link( Object x, Object y, Object z ) → QDataSet [view source]
link( Object d0, Object d1, Object d2, Object z ) → QDataSet [view source]

## linspace

linspace( double min, double max, int len0 ) → QDataSet

return a rank 1 dataset with `len0` linearly-spaced values, the first is min and the last is max.

### Parameters

min - double
max - double
len0 - number of elements in the result

### Returns:

rank 1 dataset of linearly spaced data.
[search for examples] [view on GitHub] [view on old javadoc] [view source]

## linspace

linspace( Object omin, Object omax, int len0 ) → QDataSet

return a rank 1 dataset with `len0` linearly-spaced values, the first is min and the last is max.

### Parameters

omin - rank 0 dataset
omax - rank 0 dataset
len0 - number of elements in the result

### Returns:

rank 1 dataset of linearly spaced data.
[search for examples] [view on GitHub] [view on old javadoc] [view source]

## log

log( QDataSet ds ) → QDataSet

element-wise natural logarithm.

### Parameters

ds - a QDataSet

### Returns:

a QDataSet
[search for examples] [view on GitHub] [view on old javadoc] [view source]
log( double ds1 ) → double [view source]
log( Object ds1 ) → QDataSet [view source]

## log10

log10( QDataSet ds ) → QDataSet

element-wise base 10 logarithm.

### Parameters

ds - a QDataSet

### Returns:

a QDataSet
[search for examples] [view on GitHub] [view on old javadoc] [view source]
log10( double ds1 ) → double [view source]
log10( Object ds1 ) → QDataSet [view source]

## logspace

logspace( double min, double max, int len0 ) → QDataSet

return a rank 1 dataset with `len0` logarithmically-spaced values, the first is min and the last is max.

### Parameters

min - double
max - double
len0 - number of elements in the result

### Returns:

rank 1 dataset of logarithmically spaced data.
[search for examples] [view on GitHub] [view on old javadoc] [view source]

## logspace

logspace( Object omin, Object omax, int len0 ) → QDataSet

return a rank 1 dataset with `len0` logarithmically-spaced values, the first is min and the last is max.

### Parameters

omin - rank 0 dataset
omax - rank 0 dataset
len0 - number of elements in the result

### Returns:

rank 1 dataset of logarithmically spaced data.
[search for examples] [view on GitHub] [view on old javadoc] [view source]

## lonarr

lonarr( int len0 ) → QDataSet

create a dataset filled with zeros, stored in 8-byte longs, suitable for storing cdf_tt2000 times..

### Parameters

len0 - the zeroth dimension length

### Returns:

rank 1 dataset filled with zeros.

### See Also:

zeros(int)
dblarr(int)
[search for examples] [view on GitHub] [view on old javadoc] [view source]

## lonarr

lonarr( int len0, int len1 ) → QDataSet

create a rank 2 dataset filled with zeros, stored in 8-byte longs.

### Parameters

len0 - the length of the zeroth dimension.
len1 - the length of the first dimension.

### Returns:

rank 2 dataset filled with zeros.
[search for examples] [view on GitHub] [view on old javadoc] [view source]

## lt

lt( QDataSet ds1, QDataSet ds2 ) → QDataSet

element-wise function returns 1 where ds1<ds2.

### Parameters

ds1 - a QDataSet
ds2 - a QDataSet

### Returns:

a QDataSet
[search for examples] [view on GitHub] [view on old javadoc] [view source]
lt( Object ds1, Object ds2 ) → QDataSet [view source]