# addNormalDistributionLine

addNormalDistributionLine void
Add a normaldistribution line(s) to a 2D-Scatter plot
Default:

# addRegressionLine

addRegressionLine void
Add regression line(s) to a 2D-Scatter plot
Default:

# clusterSamples

clusterSamples void
Cluster samples based on data and generate a dendrogram on the sample axis. It takes no parameters
Default:

# clusterVariables

clusterVariables void
Cluster variables based on data and generate a dendrogram on the variable axis. It takes no parameters
Default:
Used in: Heatmap

# createContour


# createHistogram

createHistogram option
Create a histogram in 2D-Scatter plots in the 'x' axis or the 'y' axis
@advanced
Default:
Options: x, y

# createRandomData


# desegregateSamples

desegregateSamples void
Desegreagate samples previously segregated based on a sample category (data.x object)
See also: segregateSamples
Default:

# desegregateVariables

desegregateVariables void
Desegregate variables previously segregated based on a variable category (data.z object)
See also: segregateVariables
Default:

# draw


# drawArea


# groupSamples

groupSamples array
Group samples based on a sample category (data.x object)
See also: ungroupSamples
Default:

# hideCodeDiv


# hideInfoDiv


# hideUnhideSmps

hideUnhideSmps array
Hide or unhide samples. It works like a switch
Default:

# hideUnhideVars

hideUnhideVars array
Hide or unhide variables. It works like a switch
Default:

# kmeansSamples

kmeansSamples void
Cluster samples using kmeans
Default:

# kmeansVariables

kmeansVariables void
Cluster variables using kmeans
Default:

# print


# recalculateLayout

recalculateLayout void
Recalculate the network layout
Default:

# removeContour


# removeHistogram

removeHistogram void
Remove histogram from a 2D-Scatter plot
Default:

# reset


# segregateSamples

segregateSamples option
Segregate samples based on a sample category (data.x object)
See also: desegregateSamples
Default:

# segregateVariables

segregateVariables option
Segregate variables based on a variable category (data.z object)
See also: segregateVariables
Default:

# showCodeDiv


# showInfoDiv


# transform

transform option
Transform all the data. Warning: the option 'save' overwrites the original data
See also: ratioReference, transformType, zscoreAxis
Default:
Options: false, log2, log10, exp2, exp10, percentile, zscore, ratio, ratio2, ratio10, save, reset, undo

# transpose

transpose void
Transpose the data. It takes no parameters
Default:

# ungroupSamples

ungroupSamples void
Ungroup samples previously grouped according to a sample category (data.x object)
See also: groupSamples
Default:

# updateCodeDiv