Description Usage Arguments Details See Also Examples
View source: R/summaryFunctions.R
createSummarySpikesMat
returns a 2D matrix without
cells/odours missing data. The matrix has ncells
rows x
(nodours
* numSamplePoints
) columns. Timepoints for the same
odour are in adjacent columuns.
createSummarySpikesArray
returns a 3D array without
cells/odours missing data. The array has ncells rows x nodours columns *
numSamplePoints slabs.
1 2 3 | createSummarySpikesMat(summary_array, numSamplePoints = 7, NALimit = 3)
createSummarySpikesArray(summary_array, numSamplePoints = 7, NALimit = 3)
|
summary_array |
Raw 3D array of the form generated by
|
numSamplePoints |
The number of temporal sample points (defaults to 7) |
NALimit |
The maximum number of missing responses that are acceptable |
Some analysis (eg PCA) cannot cope with missing data. These functions will drop cells or odours in order to give a dataset without missing data. The choice of NALimit will affect how many cells/odours are dropped. NALimit=3, the default for some time, is now too low since it will result in too many odours being dropped (while keeping more cells).
Other summary_array: create_raw_summary_array
1 2 3 4 5 | summary_array=create_raw_summary_array()
clean_summary_array=createSummarySpikesArray(summary_array, NALimit = 25)
clean_summary_mat=createSummarySpikesMat(summary_array, NALimit = 25)
str(clean_summary_array)
str(clean_summary_mat)
|
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