markersize, relate weidth and height of topo, drop the grid

src/plot_erp.jl

@@ -131,11 +131,12 @@ function plot_erp!(f::Union{GridPosition,Figure}, plotData::DataFrame; positions
         # add topoLegend
 
         if (config.extra.topoLegend)
-            topoAxis = Axis(f_grid, width=Relative(0.25), height=Relative(0.25), halign=0.05, valign=0.95, aspect=1)
+            topoAxis = Axis(f_grid, width=Relative(config.extra.topowidth), height=Relative(config.extra.topoheigth), halign=0.05, valign=0.95, aspect=1)
             topoplotLegend(config, topoAxis, allPositions)
         end
         # no extra legend
         mainAxis = Axis(f_grid; config.axis...)
+        hidedecorations!(mainAxis, label = false, ticks = false, ticklabels = false) 
 
         if isnothing(colors)
             drawing = draw!(mainAxis, plotEquation)
@@ -184,7 +185,7 @@ function topoplotLegend(config, axis, allPositions)
         colorrange=(0, length(allPositions)), # add the 0 for the white-first color
         colormap=specialColors,
         head=(color=:black, linewidth=1, model=topoMatrix),
-        label_scatter=(markersize=10, strokewidth=0.5,))
+        label_scatter=(markersize=config.extra.markersize, strokewidth=0.5,))
 
     hidedecorations!(current_axis())
     hidespines!(current_axis())

src/plotconfig.jl

@@ -170,6 +170,9 @@ function PlotConfig(T::Val{:butterfly})
             showLegend=false
         ), extra=(;
             topoLegend=true,
+            markersize=10,
+            topowidth=0.25,
+            topoheigth=0.25,
             topoPositionToColorFunction=x -> posToColorRomaO(x)
         ), mapping=(;
             color=(:channel, :channels, :trial, :trials,),

test/example_data.jl

@@ -0,0 +1,66 @@
+using UnfoldSim
+using TopoPlots
+using Unfold
+"""
+Makes use of TopoPlots example data (originating from eegvis matlab toolbox).
+type ==
+"TopoPlots.jl"(default) Returns tidy DataFrame with two conditions, 64 channels and 800ms of data. This is an average over many subjects.
+"""
+
+function example_data(example="TopoPlots.jl")
+
+	if example == "UnfoldLinearModel"
+		# load and generate a simulated Unfold Design
+		data,evts = UnfoldSim.predef_eeg(;noiselevel=10,return_epoched=true)
+		data = reshape(data,1,size(data)...)
+		f  = @formula 0~1+condition+continuous
+		# generate ModelStruct
+		se_solver =(x,y)->Unfold.solver_default(x,y,stderror=true)
+		return fit(UnfoldModel,(Dict(Any=>(f,range(0,length=size(data,2),step=1/100)))) ,evts,data;solver=se_solver)
+	elseif example == "UnfoldLinearModelMultiChannel"
+			# load and generate a simulated Unfold Design
+			cAll = DataFrame()
+			sfreq = 100
+			for ch = 1:5
+			data,evts = UnfoldSim.predef_eeg(;p1 = (p100(;sfreq=sfreq), @formula(0~1),[5],Dict()), 
+
+			n1 = (n170(;sfreq=sfreq), @formula(0~1+condition),[5,-ch*0.5],Dict()), 
+			 p3 = (p300(;sfreq=sfreq), @formula(0~1+continuous),[ch,1],Dict()), 
+			return_epoched=true)
+			data = reshape(data,1,size(data)...)
+			f  = @formula 0~1+condition+continuous
+			# generate ModelStruct
+
+			m= fit(UnfoldModel,(Dict(Any=>(f,range(0,length=size(data,2),step=1/100)))) ,evts,data)
+			d = coeftable(m)
+			d.channel .= ch
+			cAll = append!(cAll,d)
+			end
+			return cAll
+
+	elseif example == "UnfoldLinearModelContinuousTime"
+		# load and generate a simulated Unfold Design
+		data,evts = UnfoldSim.predef_eeg(;)
+		data = reshape(data,1,size(data)...)
+		f  = @formula 0~1+condition+continuous
+		basis = firbasis([0,0.5],100)
+		# generate ModelStruct
+		return fit(UnfoldModel,Dict(Any=>(f,basis)) ,evts,data)
+
+	elseif example == "TopoPlots.jl"
+		data,chanlocs = TopoPlots.example_data();
+		df = DataFrame(estimate=Float64[],time=Float64[],channel=Int64[],coefname=String[],topoPositions=[],se=Float64[],pval=Float64[])
+		pos = TopoPlots.points2mat(chanlocs)
+		for ch = 1:size(data,1)
+			for t = 1:size(data,2)
+				append!(df,DataFrame(estimate=data[ch,t,1],se=data[ch,t,2],pval=data[ch,t,3],time=t,channel=ch,coefname="A",topoPositions=(pos[1,ch],pos[2,ch])))
+
+
+			end
+		end
+		df.time = range(-0.3,0.5,step=1/500)[Int.(df.time)]
+		return df,chanlocs
+	else
+		error("unknown example data")
+	end
+end

test/test_butterfly.jl

@@ -0,0 +1,6 @@
+include("setup.jl")
+@testset "markersize change" begin
+    include("example_data.jl")
+    data, pos = example_data("TopoPlots.jl")
+    plot_butterfly(data; positions=pos, extra=(markersize = 10, topoheigth=0.4, topowidth=0.4))
+end