This function makes a full normal plot of the elements of the vector called effects

1 | ```
fullnormal(effects, labs, alpha = 0.05, refline = "TRUE")
``` |

`effects` |
input - vector of effects to be plotted |

`labs` |
input - vector of labels of the effects to be plotted |

`alpha` |
input - alpha level for labeling of significant effects using Lenth statistic |

`refline` |
input - logical variable that indicates whether a reference line is added to the plot (default is "TRUE") |

John Lawson

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | ```
# Example Separate Normal plots of whole and split plot effects from an unreplicated split-plot
data(plasma)
sol<-lm(y~A*B*C*D*E,data=plasma)
summary(sol)
# get whole plot effects and split plot effects
effects<-coef(sol)
effects<-effects[c(2:32)]
Wpeffects<-effects[c(1:4, 6:11, 16:19, 26)]
Speffects<-effects[c(5,12:15,20:25,27:31)]
#make separate normal plots
library(BsMD)
fullnormal(Wpeffects,names(Wpeffects),alpha=.10)
fullnormal(Speffects,names(Speffects),alpha=.05)
## The function is currently defined as
function (effects, labs, alpha = 0.05, refline = "TRUE")
{
crit <- LenthPlot(effects, alpha = alpha, plt = FALSE)["ME"]
names <- names(effects)
names <- gsub(":", "", names)
names <- gsub("1", "", names)
le <- length(effects)
for (i in 1:le) {
logc <- (abs(effects[i]) <= crit)
if (logc) {
names[i] <- " "
}
}
qqnorm(effects, ylab = "Estimated Effects", xlab = "Normal Scores")
x <- qqnorm(effects, plot = FALSE)
zscr <- (x$x)
effp <- effects[zscr > 0]
zp <- zscr[zscr > 0]
namep <- names[zscr > 0]
effn <- effects[zscr < 0]
zn <- zscr[zscr < 0]
namen <- names[zscr < 0]
text(zp, effp, namep, pos = 1)
text(zn, effn, namen, pos = 3)
ahe <- abs(effects)
s0 <- 1.5 * median(ahe)
selhe <- ahe < (2.5 * s0)
pse = 1.5 * median(ahe[selhe])
if (refline) {
abline(0, pse)
}
}
``` |

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