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'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
'Load CSV file with 5 columns: grouping, start and end tpts of stimulation, start and end of y-position, dummy column with ID.',#5
'Interpolate missing time points and pre-existing NAs. The interval of the time column must be provided!',#6
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
'Select columns to group data according to treatment, condition, etc.',#8
'Select math operation to perform on a single or two columns,',#9
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@@ -192,7 +192,8 @@ helpText.server = c(
'Normalise with respect to this time span.',#13
'Calculate fold-change and z-score using the median and Median Absolute Deviation, instead of the mean and sd.',#14
'Normalise to mean/median of selected time calculated globally, per group, or for individual time series.',#15
'Download time series after modification in this section.'#16
'Download time series after modification in this section.',#16
alertNAsPresent="NAs present in the measurement column. Consider interpolation."
helpText.selOutliers=c(chbRemoveOut="Remove outlier time points. Gaps created by removing outliers can be interpolated or you can choose to remove entire trajectories that contain outlier time points.",
numOutliersPerc='Percentage of data points to remove from pooled data from all time points.',
chBtrajInter='Linearly interpolate gaps created after removing outlier time points.',
rbOutliersType='Choose whether to remove outliers from the top, bottom, or both ends of the pooled data distribution.',
slOutliersGapLen='Duration of a maximum allowed gap created by removing outlier time points. Time series with gaps longer than the set threshold will be removed entirely. ',
chBplotDist='Visualise a distribution of pooled data points. Red regions indicate the percentage of data set for removal.'