"<li>A column with a time point. Headers of columns with time points need to be numeric</li>"),#2
'Generate 60 random synthetic time series distributed evenly among 6 groups. Every time series has 60 time points.',#3
'Load CSV file with a column of track IDs for removal. IDs should correspond to those used for plotting.',#4
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'Load CSV file with 5 columns: grouping, start and end tpts of stimulation, start and end of y-position, dummy column with ID.',#5
chBtrajInter='Interpolate missing time points and pre-existing NAs. Missing time points are rows entirely missing from the dataset. To interpolate, the interval of the time column must be provided.',#6
'If the track ID is unique only within a group, make it unique globally by combining with grouping columns.',#7
=======
'Load CSV file with 5 columns: grouping, start and end time points of stimulation, start and end of y-position, dummy column with ID.',#5
'Interpolate missing time points indicated with NAs. In addition, add NA if a row with a time point is completely missing. The interval of the time column must be provided to know which rows are missing.',#6
'If the track ID is not globally unique, try to make it unique by prepending another column to the track ID (typically the group column).',#7
>>>>>>>d154660843617744aa265b8e65e9abb9bbf8b1ce
'Select columns to group data according to treatment, condition, etc.',#8
'Select math operation to perform on a single or two columns,',#9
'Select range of time for further processing.',#10
# 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
=======
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
>>>>>>>d154660843617744aa265b8e65e9abb9bbf8b1ce
)
helpText.tabScatter=c(alScatter=paste0("Display measurement relationship between two different time points as a scatter plot. ",
"Instead of plotting the exact value of time points, you can also switch on smoothing and use local average values around chosen time points."),
rBfoldChange=paste0("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."),
chBregression='Add a line with linear regression and regions of 95% confidence interval.',#2
inNeighTpts='Window length in time points for smoothing with the average used before plotting the scatterplot. Useful to avoid artefacts in the scatterplot due to spurious variations at specific time points.',#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.')
