Lenth: Lenth's Plot of Effects
In ana-vela7/BsMD2: Bayes Screening and Model Discrimination
Description
Usage
Arguments
Value
Examples
Description
Plot of the factor effects with significance levels based on robust estimation of contrast standard errors.
Usage
1
Lenth(fit)
Arguments
fit
Object of class lm. Fitted model from lm.
Value
The function returns Lenth's plot. Dashed lines correspond to the margin of error (ME) and dotted lines to the simultaneous margin of error (SME).
Examples
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#Example 6.2 Douglas C. Montgomery
#A <- rep(c(-1,1),8)
#B <- rep(c(-1,-1,1,1),4)
#C <- rep(c(rep(-1,4),rep(1,4)),2)
#D <- c(rep(-1,8), rep(1,8))
#rate <- c(45,71,48,65,68,60,80,65,43,100,45,104,75,86,70,96)
#fit <- lm(rate~A*B*C*D)
#Lenth(fit)
ana-vela7/BsMD2 documentation built on Dec. 19, 2021, 2:32 a.m.
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Description Usage Arguments Value Examples
Description
Plot of the factor effects with significance levels based on robust estimation of contrast standard errors.
Usage
1 | Lenth(fit)
|
Arguments
fit |
Object of class lm. Fitted model from lm. |
Value
The function returns Lenth's plot. Dashed lines correspond to the margin of error (ME) and dotted lines to the simultaneous margin of error (SME).
Examples
1 2 3 4 5 6 7 8 | #Example 6.2 Douglas C. Montgomery
#A <- rep(c(-1,1),8)
#B <- rep(c(-1,-1,1,1),4)
#C <- rep(c(rep(-1,4),rep(1,4)),2)
#D <- c(rep(-1,8), rep(1,8))
#rate <- c(45,71,48,65,68,60,80,65,43,100,45,104,75,86,70,96)
#fit <- lm(rate~A*B*C*D)
#Lenth(fit)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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