vignette"
In squid: Statistical Quantification of Individual Differences

# Source general variable (model synthax)
source("../../variables/general/VARgeneral.R")

Input       <- c(paste0("$", NOT$meanVector),      # VB
                 paste0("$V",NOT$groupV),      # VG
                 paste0("$V",NOT$error)        # Ve
                )

#   "Bnames" = c(paste0("$",EQ$mean0.1,"$"), 
#                paste0("$",EQ$mean1.1,EQ2$env1,"$"), 
#                paste0("$",EQ$mean2.1,EQ2$env2,"$"),
#                paste0("$",EQ$mean12.1,EQ2$env12,"$"),
#                paste0("$",EQ$mean0.2,"$",sep=""), 
#                paste0("$",EQ$mean1.2,EQ2$env1,"$"), 
#                paste0("$",EQ$mean2.2,EQ2$env2,"$"),
#                paste0("$",EQ$mean12.2,EQ2$env12,"$")),


mathExp     <- c(paste0("$[",EQ$mean0.1,",",
                              EQ$mean1.1,EQ2$env1,",",
                              EQ$mean2.1,EQ2$env2,",",
                              EQ$mean12.1,EQ2$env12,"]$"),      # B
                 paste0("$V",NOT$groupV, "$"),                  # VG
                 paste0("$V",NOT$error,"$")                     # Ve
                )

description <- c("Population mean values",            # VB
                 "Higher-level grouping variance",    # VG
                 "Measurement error variance"         # Ve
                )

# Create table
myTable <- data.frame(Input, mathExp, description)
colnames(myTable) <- c("Input", "Mathematical\nexpression", "Description")

# Display table
pander::pandoc.table(myTable, keep.line.breaks = TRUE, justify = c('left'))