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lunaR plotting functions

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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 )

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ltopo.heat()

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

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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.

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ltopo.xy()

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

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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   )

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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 ) )

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

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ltopo.dconn()

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

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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 )

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ldefault.xy()

Default channel co-ordinates for plotting

ldefault.coh.xy()

Default channel co-ordinates for plotting connectivity maps

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