# where dataMod is the output from a reactive function that returns dataset ready for clustering
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helpText.tabScatter=c(alScatter="Display measurement values from two different time points as a scatter plot.",
rBfoldChange='Y-axis can display a value at a selected time point or a difference between values at two selected time points.',#1
chBregression='Add a line with linear regression and regions of 95% confidence interval.',#2
inNeighTpts='A number of time points left & right of selected time points; use the mean of values from these time points for the scatterplot.',#3
inPlotHeight='Height in pixels of the displayed plot',#4
inPlotNcolFacet='Number of facets in a row. Each facet displayes a scatter plot for a single group.'#5
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helpText.tabScatter=c("Display measurement relationship between two different time points as a scatter plot. Instead of using the exact value of time points, can also use local average values around them with the smoothing option.",
'Y-axis can display a value at a selected time point or a difference between values at two selected time points. The former reports the magnitude of the difference while the former reports the amplitude of the difference between the 2 selected time points.',#1
'Add a line with linear regression and regions of 95% confidence interval.',#2
'Window length for moving average smoothing used before plotting the scatterplot. Useful to avoid artefacts in the scatterplot due to spurious variations at specific time points.',#3
'Height in pixels of the displayed plot',#4
'Number of facets in a row. Each facet displayes a scatter plot for a single group.'#5
