# lunaR plotting functions

Warning

This page is a placeholder and will be completed in due course.

## `lheatmap()`

A simple heatmap

Syntax: `lheatmap(x, y , z)`

• `x`, `y` and `z` are three similarly-sized vectors where `x` and `y` define a rectangular grid of values, and `z` is the heat (i.e. plotted value)

Returns: a heatmap image

This simple wrapper will likely need editing to produce high-quality figures, but it might provide a good starting point. It is designed to work with data in the format as returned by `epoch-spectrum` from `PSD` and `MTM`, for example:

``````d <- lx( k , "PSD" , "CH" , "E", "F" )
lheatmap( mtm\$SEG , mtm\$F , mtm\$MTM )
``````

## `ltopo.heat()`

``````ltopo.heat( psd\$CH , psd\$PSD , flt = psd\$F == 15  , sz = 3 , zlab = "Power 15 Hz", mt = "Plot 1" )
``````

## `ltopo.rb()`

As `ltopo.heat()` except using a blue (negative) and red (positive) color scale, with 0 as white. This is the same `zeroed=T` and with a different color scheme.

## `ltopo.xy()`

``````ltopo.xy( c = hj\$CH , x = hj\$E , y = log( hj\$H1 ) , xlab = "Epoch" , ylab = "H1"  )
``````

``````ltopo.xy( c = hj\$CH , x = hj\$E , y = log( hj\$H1 ) , xlab = "Epoch" , ylab = "H1" , z = log( hj\$H1 ) , pch=20  , col=rbpal , cex = 0.2   )
``````

## `ltopo.conn()`

``````ltopo.conn( chs1 = coh\$CH1 , chs2 = coh\$CH2 , z = coh\$COH , flt = coh\$B == "DELTA" & coh\$COH > 0.8 , w = 3 , zr = c(-1 , 1 ) )
``````

``````ltopo.conn( chs1 = coh\$CH1 , chs2 = coh\$CH2 , z = coh\$ICOH , flt = coh\$B == "SIGMA" & coh\$COH > 0.7 , w = 5 , signed = T )
``````

## `ltopo.dconn()`

``````ltopo.dconn( ch = "C3" , chs1 = coh\$CH1 , chs2 = coh\$CH2 , z = coh\$COH , flt = coh\$B == "SIGMA" )
``````

## `ltopo.topo()`

``````ltopo.topo( c = c( coh\$CH1 , coh\$CH2 )  , c2 = c( coh\$CH2 , coh\$CH1 ) , z = c( coh\$ICOH , -1 * coh\$ICOH )  , f = rep( coh\$B == "SIGMA" , 2 )   , sz=0.08, sz2=0.6 )
``````

## `ldefault.xy()`

Default channel co-ordinates for plotting

## `ldefault.coh.xy()`

Default channel co-ordinates for plotting connectivity maps