View source: R/well_barchart.R
well_barchart | R Documentation |
Function creates a bar chart of calculated MEA parameters by well for a given time interval and recording.
well_barchart(
data = output_table,
well_parameter,
well_filter = "A1|A2|A3|A4|A5|A6|B1|B2|B3|B4|B5|B6|C1|C2|C3|C4|C5|C6|D1|D2|D3|D4|D5|D6",
statistic = se
)
data |
Dataset containing electrode burst data and calculated MEA parameter. Use create_electrode_dataset and well parameter functions to preprocess data before use in this function (i.e., well_burst_duration, well_mean_burst_ISI, well_number_of_bursts, well_spikes_per_burst). |
well_parameter |
Include "number_of_bursts"/ "burst_duration"/ "spikes_per_burst"/ "mean_burst_ISI" to determine the parameter visualised in the barchart. |
well_filter |
Argument can be used to filter for specific MEA wells to include in the barchart. |
statistic |
Include "se" or "sd" to determine whether bar chart error bars represent the standard error or standard deviation of the mean. |
A bar chart of calculated MEA parameters by single electrode for a given time interval and recording.
p <- well_barchart(data = input_well_barchart,
well_parameter = "burst_duration",
well_filter = "A1|A2|A3|A4",
statistic = se)
p <- well_barchart(data = input_well_barchart,
well_parameter = "spikes_per_burst",
well_filter = "A1|A2|A3|A4",
statistic = se)
p <- well_barchart(data = input_well_barchart,
well_parameter = "mean_burst_ISI",
well_filter = "A1|A2|A3|A4",
statistic = se)
p <- well_barchart(data = input_well_barchart,
well_parameter = "number_of_bursts",
well_filter = "A1|A2|A3|A4",
statistic = se)
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