Running examples in ‘MuMIn-Ex.R’ failed
The error most likely occurred in:

> ### Name: MuMIn-package
> ### Title: Multi-model inference
> ### Aliases: MuMIn-package MuMIn
> ### Keywords: package models
> 
> ### ** Examples
> 
> ## Don't show: 
> oop <- 
+ ## End(Don't show)
+ options(na.action = "na.fail") #  change the default "na.omit" to prevent models 
>                                #  from being fitted to different datasets in 
>                                #  case of missing values.
> 
> fm1 <- lm(y ~ ., data = Cement)
> ms1 <- dredge(fm1)
Fixed term is "(Intercept)"
> 
> # Visualize the model selection table:
> ## Don't show: 
>  if(require(graphics)) { 
+ ## End(Don't show)
+ par(mar = c(3,5,6,4))
+ plot(ms1, labAsExpr = TRUE)
+ ## Don't show: 
+  } 
> ## End(Don't show)
> model.avg(ms1, subset = delta < 4)

Call:
model.avg(object = ms1, subset = delta < 4)

Component models: 
‘12’  ‘124’ ‘123’ ‘14’  ‘134’

Coefficients: 
       (Intercept)       X1        X2         X4           X3
full      64.69313 1.455798 0.5057578 -0.1478697 -0.004302377
subset    64.69313 1.455798 0.6250260 -0.4760071 -0.021531961
> 
> confset.95p <- get.models(ms1, cumsum(weight) <= .95)
> avgmod.95p <- model.avg(confset.95p)
> summary(avgmod.95p)

Call:
model.avg(object = confset.95p)

Component model call: 
lm(formula = y ~ <4 unique rhs>, data = Cement)

Component models: 
    df logLik  AICc delta weight
12   4 -28.16 69.31  0.00   0.62
124  5 -26.93 72.44  3.13   0.13
123  5 -26.95 72.48  3.16   0.13
14   4 -29.82 72.63  3.32   0.12

Term codes: 
X1 X2 X3 X4 
 1  2  3  4 

Model-averaged coefficients:  
(full average) 
            Estimate Std. Error Adjusted SE z value Pr(>|z|)    
(Intercept) 60.48430   17.92604    18.21471   3.321 0.000898 ***
X1           1.49198    0.15745     0.17467   8.542  < 2e-16 ***
X2           0.55106    0.23133     0.23552   2.340 0.019299 *  
X4          -0.10354    0.21306     0.21628   0.479 0.632129    
X3           0.03204    0.10656     0.11317   0.283 0.777105    
 
(conditional average) 
            Estimate Std. Error Adjusted SE z value Pr(>|z|)    
(Intercept)  60.4843    17.9260     18.2147   3.321 0.000898 ***
X1            1.4920     0.1575      0.1747   8.542  < 2e-16 ***
X2            0.6250     0.1203      0.1292   4.839 1.31e-06 ***
X4           -0.4160     0.2289      0.2408   1.728 0.084009 .  
X3            0.2500     0.1847      0.2132   1.173 0.240898    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

> confint(avgmod.95p)
Error in get(name, envir = asNamespace(pkg), inherits = FALSE) : 
  object 'format.perc' not found
Calls: confint -> confint.averaging -> getFrom -> get
Execution halted