Page Comparison

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• Up to here, the dimensions of the assigned data frame D DST have been found using the ds.dim command in which type='both' is the default argument.
• Now use the type='combine' argument in the ds.dim function to identify the number of individuals (5251) and variables (11) pooled across all studies:

ds.dim(x='DDST', type='combine', datasources = connections)

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  Aggregated (dimDS("DST")) [==============================================================] 100% / 0s
$`dimensions of DDST in combined studies`
[1] 5251   11

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ds.colnames(x='DDST', datasources = connections)

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