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# changed based on http://stackoverflow.com/questions/30436013/info-bubble-text-in-a-shiny-interface
icon("question")
)
)
}
helpText.server=c(
alDataFormat=paste0("<p>Switch between long and wide formats of input data. ",
"TCI accepts CSV or compressed CSV files (gz or bz2).</p>",
...
...
@@ -164,24 +141,30 @@ helpText.server = c(
"At least 3 columns shuold be present:</p>",
"<li>First two columns in wide format should contain grouping and track IDs</li>",
"<li>A column with a time point. Headers of columns with time points need to be numeric</li>"),
inDataGen1='Generate 60 random synthetic time series distributed evenly among 6 groups. Every time series has 60 time points.',
chBtrajRem='Load CSV file with a column of track IDs for removal. IDs should correspond to those used for plotting.',
chBstim='Load CSV file with stimulation pattern. Should contain 5 columns: grouping, start and end time points of stimulation, start and end of y-position, dummy column with ID.',
chBtrajInter='Interpolate missing measurements indicated with NAs in the data file. In addition, interpolate a row that is completely missing from the data. The interval of the time column must be provided to know which rows are missing.',#6
chBtrackUni='If the track ID is unique only within a group, make it unique globally by combining with grouping columns.',
'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).',
'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
'Divide measurements by the mean/median or calculate z-score with respect to selected time span.',#11
'Fold-change or z-score with respect to selected time span.',#12
'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 standard deviation.',#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
alertNAsPresent="NAs present in the measurement column. Consider interpolation.",
inDataGen1=paste0("Generate 3 groups with 20 random synthetic time series. ",
"Every time series contains 101 time points. ",
"Track IDs are unique across entire dataset."),
chBtrajRem=paste0("Load CSV file with a column of track IDs for removal. ",
"IDs should correspond to those used for plotting."),
chBstim=paste0("Load CSV file with stimulation pattern. Should contain 5 columns: ",
"grouping, start and end time points of stimulation, start and end of y-position, dummy column with ID."),
chBtrajInter=paste0("Interpolate missing measurements indicated with NAs in the data file. ",
"In addition, interpolate a row that is completely missing from the data. ",
"The interval of the time column must be provided to know which rows are missing."),
chBtrackUni=paste0("If the track ID in the uploaded dataset is unique only within a group (e.g. an experimental condition), ",
"make it unique by prepending other columns to the track ID (typically a grouping column)."),
chBgroup="Select columns to group data according to treatment, condition, etc.",
inSelMath="Select math operation to perform on a single or two measurement columns,",
chBtimeTrim="Trim time for further processing.",
chBnorm="Divide measurements by the mean/median or calculate z-score with respect to selected time span.",
rBnormMeth="Fold-change or z-score with respect to selected time span.",
slNormRtMinMax="Normalise with respect to this time span.",
chBnormRobust="Calculate fold-change and z-score using the median and Median Absolute Deviation, instead of the mean and standard deviation.",
chBnormGroup="Normalise to mean/median of selected time calculated globally, per group, or for individual time series.",
downloadDataClean="Download all time series after modifications in this panel.",
alertNAsPresent="NAs present in the measurement column. Consider interpolation.",
alertWideMissesNumericTime="Non-numeric headers of time columns. Data in wide format should have numeric column headers corresponding to time points.",
alertWideTooFewColumns="Insufficient columns. Data in wide format should contain at least 3 columns: grouping, track ID, and a single time point."
alertWideTooFewColumns="Insufficient columns. Data in wide format should contain at least 3 columns: grouping, track ID, and a single time point."
caption='Statistics of time series: number of time series, mean/median and the spread of track lengths, SD - standard deviation, IQR - interquartile range.',
caption=paste0("Statistics of time series: number of time series, ",
"mean/median track length, ",
"SD - standard deviation, IQR - interquartile range."),
caption='Statistics of measurements: number of NA time points, min/max/mean/median and the spread of the y-axis value. SD - standard deviation, CV - coefficient of variation, SD/mean; IQR - interquartile range, rCV - robust CV, IQR/median.',
caption=paste0("Statistics of measurements: number of NA time points, ",
"min/max/mean/median of the measurmeent selected for the Y-axis. ",
"SD - standard deviation; CV - coefficient of variation; ",
