ds.boxPlot {dsBaseClient}

R Documentation

Draw boxplot

Description

Draw boxplot with data on the study servers (data frames or numeric vectors) with the option of grouping using categorical variables on the dataset (only for data frames)

Usage

ds.boxPlot(
  x,
  variables = NULL,
  group = NULL,
  group2 = NULL,
  xlabel = "x axis",
  ylabel = "y axis",
  type = "pooled",
  datasources = NULL
)

Arguments

x	character Name of the data frame (or numeric vector) on the server side that holds the information to be plotted
variables	character vector Name of the column(s) of the data frame to include on the boxplot
group	character (default NULL) Name of the first grouping variable.
group2	character (default NULL) Name of the second grouping variable.
xlabel	caracter (default "x axis") Label to put on the x axis of the plot
ylabel	caracter (default "y axis") Label to put on the y axis of the plot
type	character Return a pooled plot ("pooled") or a split plot (one for each study server "split")
datasources	a list of DSConnection-class (default NULL) objects obtained after login

Value

ggplot object

Examples

## Not run: 
  ## Version 6, for version 5 see the Wiki
  
  ### Please ensure you have a training Virtual Machine running,
   or that you have a live connection to a server.
     
  # 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 a boxplot of one variable
  ds.boxPlot("D", "LAB_HDL", datasources = connections) 
 
  ## Create a boxplot that is split by study:
  ds.boxPlot("D", "LAB_HDL", type= "split", datasources = connections) 
  
  ## Create a boxplot of two variables variable
  ds.boxPlot("D", c("LAB_HDL", "LAB_TRIG", type="combine", 
  datasources = connections)  
  # only one plot is created (of the aggregated results of all servers)
  
  ## Create a boxplot of two variables, which are split by a factor
  ds.boxPlot("D", c("LAB_HDL", "LAB_TRIG"), group = "GENDER", 
  datasources = connections)
  
  ## Create a boxplot with x- and y-axis labels
  ds.boxPlot("D", c("LAB_HDL", "LAB_TRIG"), group = "GENDER", 
  xlabel = "Variable", ylabel = "Measurement", datasources = connections)
  
  ## Improve the presentation of ds.boxplot output using ggplot:
  ### User must save the output, which is in a ggplot format already:
  a <- ds.boxPlot("D", c("LAB_HDL", "LAB_TRIG"), group = "GENDER", 
  xlabel = "Variable", ylabel = "Measurement", datasources = connections)
                 
  ### Then customise output "a" using ggplot tools:
  a + ggplot2::scale_fill_discrete(name = "Gender", labels = c("Male", "Female"))
  
  ### Or use an alternative way, to maintain the aesthetics:
  a + ggplot2::scale_fill_brewer(name = "Gender", labels = c("Male", "Female")) 
                                                                                
  # Clear the Datashield R sessions and logout                 
  datashield.logout(connections) 
  

## End(Not run)   

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