ds.merge: Merges two data frames in the server-side

In datashield/dsBaseClient: DataSHIELD Client Functions

Merges two data frames in the server-side

Description

Merges (links) two data frames together based on common values in defined vectors in each data frame.

Usage

ds.merge(
  x.name = NULL,
  y.name = NULL,
  by.x.names = NULL,
  by.y.names = NULL,
  all.x = FALSE,
  all.y = FALSE,
  sort = TRUE,
  suffixes = c(".x", ".y"),
  no.dups = TRUE,
  incomparables = NULL,
  newobj = NULL,
  datasources = NULL
)

Arguments

x.name	a character string specifying the name of the first data frame to be merged. The length of the string should be less than the specified threshold for the nfilter.stringShort which is one of the disclosure prevention checks in DataSHIELD.
y.name	a character string specifying the name of the second data frame to be merged. The length of the string should be less than the specified threshold for the nfilter.stringShort which is one of the disclosure prevention checks in DataSHIELD.
by.x.names	a character string or a vector of names specifying of the column(s) in data frame x.name for merging.
by.y.names	a character string or a vector of names specifying of the column(s) in data frame y.name for merging.
all.x	logical. If TRUE then extra rows will be added to the output, one for each row in x.name that has no matching row in y.name. If FALSE the rows with data from both data frames are included in the output. Default FALSE.
all.y	logical. If TRUE then extra rows will be added to the output, one for each row in y.name that has no matching row in x.name. If FALSE the rows with data from both data frames are included in the output. Default FALSE.
sort	logical. If TRUE the merged result is sorted on elements in the by.x.names and by.y.names columns. Default TRUE.
suffixes	a character vector of length 2 specifying the suffixes to be used for making unique common column names in the two input data frames when they both appear in the merged data frame.
no.dups	logical. Suffixes are appended in more cases to avoid duplicated column names in the merged data frame. Default TRUE (FALSE before R version 3.5.0).
incomparables	values that cannot be matched. This is intended to be used for merging on one column, so these are incomparable values of that column. For more information see match in native R merge function.
newobj	a character string that provides the name for the output variable that is stored on the data servers. Default merge.newobj.
datasources	a list of DSConnection-class objects obtained after login. If the datasources argument is not specified the default set of connections will be used: see datashield.connections_default.

Details

This function is similar to the native R function merge. There are some changes compared with the native R function in choosing which variables to use to merge the data frames, the function merge is very flexible. For example, you can choose to merge using all vectors that appear in both data frames. However, for ds.merge in DataSHIELD it is required that all the vectors which dictate the merging are explicitly identified for both data frames using the by.x.names and by.y.names arguments.

Server function called: mergeDS

Value

ds.merge returns the merged data frame that is written on the server-side. Also, two validity messages are returned to the client-side indicating whether the new object has been created in each data source and if so whether it is in a valid form.

Author(s)

DataSHIELD Development Team

Examples

## Not run: 

 ## Version 6, for version 5 see the Wiki
  
  # connecting to the Opal servers

  require('DSI')
  require('DSOpal')
  require('dsBaseClient')

  builder <- DSI::newDSLoginBuilder()
  builder$append(server = "study1", 
                 url = "http://192.168.56.100:8080/", 
                 user = "administrator", password = "datashield_test&", 
                 table = "CNSIM.CNSIM1", driver = "OpalDriver")
  builder$append(server = "study2", 
                 url = "http://192.168.56.100:8080/", 
                 user = "administrator", password = "datashield_test&", 
                 table = "CNSIM.CNSIM2", driver = "OpalDriver")
  builder$append(server = "study3",
                 url = "http://192.168.56.100:8080/", 
                 user = "administrator", password = "datashield_test&", 
                 table = "CNSIM.CNSIM3", driver = "OpalDriver")
  logindata <- builder$build()
  
  connections <- DSI::datashield.login(logins = logindata, assign = TRUE, symbol = "D") 
  
  #Create two data frames with a common column
  
  ds.dataFrame(x = c("D$LAB_TSC","D$LAB_TRIG","D$LAB_HDL","D$LAB_GLUC_ADJUSTED"),
               completeCases = TRUE,
               newobj = "df.x",
               datasources = connections)
               
  ds.dataFrame(x = c("D$LAB_TSC","D$GENDER","D$PM_BMI_CATEGORICAL","D$PM_BMI_CONTINUOUS"),
               completeCases = TRUE,
               newobj = "df.y",
               datasources = connections) 
               
  # Merge data frames using the common variable "LAB_TSC"
               
  ds.merge(x.name = "df.x",
           y.name = "df.y",
           by.x.names = "df.x$LAB_TSC",
           by.y.names = "df.y$LAB_TSC",
           all.x = TRUE,
           all.y = TRUE,
           sort = TRUE,
           suffixes = c(".x", ".y"),
           no.dups = TRUE,
           newobj = "df.merge",
           datasources = connections)              
  
  # clear the Datashield R sessions and logout
  datashield.logout(connections)

## End(Not run)

datashield/dsBaseClient documentation built on May 16, 2023, 10:19 p.m.