| ranksSecureDS5 {dsBase} | R Documentation |
Summarises the serverside data frame written by ranksSecureDS4 which is identified by the name given by the argument (<output.ranks.df>) of the ds.ranksSecure function to produce a new output data frame containing only 5 key variables.
ranksSecureDS5(output.ranks.df)
output.ranks.df |
a character string which specifies an optional name for the data.frame written to the serverside on each data source that contains 11 of the key output variables from the ranking procedure pertaining to that particular data source. This argument is set by the argument with the same name in ds.ranksSecure. |
Serverside assign function called by clientside function ds.ranksSecure. Takes the serverside data frame written by ranksSecureDS4 which is identified by the name given by the argument (<output.ranks.df>) of the ds.ranksSecure function. This holds 11 vectors including the final global ranks across all studies and final global quantiles. The data frame is ordered according to the argument <ranks.sort.by> in ds.ranksSecure. The ranksSecureDS5 function then extracts 5 key vectors from the larger data frame to produce a summary data frame that is given a name specified by the argument (<summary.output.ranks.df>) the ds.ranksSecure function. This data frame includes the following components: (1) The values of a sequential ID variable (ID.seq.real.orig) created to lie alongside the original V2BR vector in the same order as that vector was itself ordered. These ID values therefore reflect which row in the original data corresponds to a given row in the output. If the argument <ranks.sort.by> in ds.ranksSecure is set to "ID.orig" the values of the ID.seq.real.orig vector in the output data frame simply run sequentially from 1 to N where N is the number of individuals in the corresponding study. If <ranks.sort.by> is set to "vals.orig" the values of the ID.seq.real.orig vector will be determined by the magnitude of the corresponding V2BR value and will appear to be ordered in a haphazard manner; (2) the original values of V2BR; (3) the global ranks corresponding to the original values in V2BR, with ties reflected appropriately; (4) the global quantiles corresponding to the original values in V2BR, with ties reflected appropriately; (5) a studyid vector in which all elements take the value n in the nth study.
extracts 5 key vectors from the larger data frame created by ranksSecureDS4 to produce a summary data frame that is written to the serverside. It is given a name specified by the argument.
Paul Burton 9th November, 2021