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Build your login dataframe and start the Opal Servers
In part A of this demonstration we use the SURVIVAL.EXPAND_WITH_MISSING datasets that include synthetic longitundinal data. Each dataset is in a long format, which means that each row is one time point per subject. So each subject (individual) will have data in multiple rows.
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server <- c("study1", "study2", "study3") # The VM names
url <- c("http://192XXX.168XXX.56XXX.100XXX:8080", "http://192XXX.168XXX.56XXX.100XXX:8080", "http://192XXX.168XXX.56XXX.100XXX:8080") # The fixed IP addresses of the training VMs
user <- "administrator"
password <- "datashield_test&"
table <- c("SURVIVAL.EXPAND_WITH_MISSING1","SURVIVAL.EXPAND_WITH_MISSING2","SURVIVAL.EXPAND_WITH_MISSING3") # The data tables used in this tutorial
my_logindata <- data.frame(server,url,user,password,table) |
- The output below indicates that each of the three training datasets
study1,study2 and study3contain the same variables listed underVariables assigned:
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