ds.forestplot {dsBaseClient}

R Documentation

Forestplot for SLMA models

Description

Draws a foresplot of the coefficients for Study-Level Meta-Analysis performed with DataSHIELD

Usage

ds.forestplot(mod, variable = NULL, method = "ML", layout = "JAMA")

Arguments

mod	list List outputed by any of the SLMA models of DataSHIELD (ds.glmerSLMA, ds.glmSLMA, ds.lmerSLMA)
variable	character (default NULL) Variable to meta-analyze and visualize, by setting this argument to NULL (default) the first independent variable will be used.
method	character (Default "ML") Method to estimate the between study variance. See details from ?meta::metagen for the different options.
layout	character (default "JAMA") Layout of the plot. See details from ?meta::metagen for the different options.

Examples

## Not run: 
  # Run a logistic regression
  
  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()
  
  # Log onto the remote Opal training servers
  connections <- DSI::datashield.login(logins = logindata, assign = TRUE, symbol = "D") 
  
  # Fit the logistic regression model

  mod <- ds.glmSLMA(formula = "DIS_DIAB~GENDER+PM_BMI_CONTINUOUS+LAB_HDL",
                data = "D",
                family = "binomial",
                datasources = connections)
                
  # Plot the results of the model
  ds.forestplot(mod)

## End(Not run)

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