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<pre><code class="r">library(knitcitations)
library(RCurl)
library(lme4)
library(lme4.0)
lme4ver <- as.character(packageVersion("lme4"))
lme4.0ver <- as.character(packageVersion("lme4.0"))
</code></pre>
<p>The differences in convergence between “old” and “new” <code>lme4</code> is well known and often leads to substantially poorer fits with new lme4 for psycholinguistic datasets (<a href="https://hlplab.wordpress.com/2014/03/17/old-and-new-lme4/">@_hlplab_, 2014</a>). For the data set here, the difference in fits leads to similar estimates but very different standard errors and thus \(t\)-values. </p>
<p>The following was done using lme4 1.1.7 and lme4.0 0.999999.4.</p>
<pre><code class="r">c. <- function(x) scale(x, center=TRUE, scale=FALSE)
cs. <- function(x) scale(x, center=TRUE, scale=TRUE)
reml <- FALSE
modeldata <- read.table("data.tab",header=TRUE,
colClasses=c(mean="numeric",
subj="factor",item="factor",
roi="factor",win="factor",
sdiff="numeric", dist="numeric",
signdist="numeric",ambiguity="factor"))
modeldata <- subset(modeldata, roi == 'Left-Posterior')
modeldata.n400 <- subset(modeldata,win=="N400")
form <- mean ~ ambiguity * c.(sdiff) + (1+c.(sdiff)|item) +
(1+c.(sdiff)|subj)
form.s <- mean ~ ambiguity * cs.(sdiff) + (1+cs.(sdiff)|item) +
(1+cs.(sdiff)|subj)
</code></pre>
<h2>Plots</h2>
<p>(Haven't found a great way to do this, just trying to look
to see whether there is something odd about the data …)</p>
<pre><code class="r">library(ggplot2); theme_set(theme_bw())
mm <- transform(modeldata.n400,sdiff=cs.(sdiff),
subj=reorder(subj,mean),
item=reorder(item,mean))
mm0 <- subset(mm,select=c(mean,sdiff,ambiguity,subj,item))
## save("mm0",file="mm0.RData")
## L <- load("mm0.RData")
ggplot(mm0,aes(mean,subj,colour=sdiff))+geom_point(alpha=0.5)+
facet_grid(ambiguity~.)
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk pix"/> </p>
<h1>lme4</h1>
<pre><code class="r">t.new <- system.time(sdiff.new <- lme4::lmer(form,
data=modeldata.n400, REML=reml))
</code></pre>
<pre><code>## Warning: Model failed to converge with max|grad| = 5.8426 (tol = 0.002, component 1)
## Warning: Model failed to converge: degenerate Hessian with 2 negative eigenvalues
</code></pre>
<pre><code class="r">t.new
</code></pre>
<pre><code>## user system elapsed
## 17.05 0.00 29.15
</code></pre>
<pre><code class="r">print(summary(sdiff.new),correlation=FALSE)
</code></pre>
<pre><code>## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: mean ~ ambiguity * c.(sdiff) + (1 + c.(sdiff) | item) + (1 +
## c.(sdiff) | subj)
## Data: modeldata.n400
##
## AIC BIC logLik deviance df.resid
## 395942 396043 -197960 395920 69577
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -7.114 -0.619 0.005 0.621 9.321
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## item (Intercept) 5.83e-01 0.763237
## c.(sdiff) 2.28e-08 0.000151 -0.01
## subj (Intercept) 2.19e+00 1.481359
## c.(sdiff) 2.16e+01 4.643984 0.41
## Residual 1.70e+01 4.121273
## Number of obs: 69588, groups: item, 60 subj, 37
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1.16e+00 2.64e-01 4.4
## ambiguityunambig 4.97e-01 3.12e-02 15.9
## c.(sdiff) -3.91e-04 7.63e-01 0.0
## ambiguityunambig:c.(sdiff) 3.82e-04 2.47e-05 15.5
</code></pre>
<p>Note we still get convergence warnings, even with lme4 1.1.7; this means they are probably <strong>not</strong> just false positives (so in this case they are a good thing!) Should have gotten scaling warnings too ???</p>
<pre><code class="r">sdiff.new.scaled <- update(sdiff.new,formula=form.s)
</code></pre>
<h1>lme4.0</h1>
<pre><code class="r">t.old <- system.time(sdiff.old <- lme4.0::lmer(form,
data=modeldata.n400, REML=reml))
t.old
</code></pre>
<pre><code>## user system elapsed
## 53.483 0.604 103.935
</code></pre>
<pre><code class="r">summary(sdiff.old)
</code></pre>
<pre><code>## Linear mixed model fit by maximum likelihood
## Formula: form
## Data: modeldata.n400
## AIC BIC logLik deviance REMLdev
## 395191 395291 -197584 395169 395214
## Random effects:
## Groups Name Variance Std.Dev. Corr
## item (Intercept) 1.76e-01 0.420014
## c.(sdiff) 2.27e-08 0.000151 -0.012
## subj (Intercept) 1.23e+00 1.109455
## c.(sdiff) 2.60e-08 0.000161 -0.330
## Residual 1.70e+01 4.123918
## Number of obs: 69588, groups: item, 60; subj, 37
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1.16e+00 1.92e-01 6.05
## ambiguityunambig 4.97e-01 3.13e-02 15.90
## c.(sdiff) -3.88e-04 3.96e-05 -9.78
## ambiguityunambig:c.(sdiff) 3.82e-04 2.47e-05 15.45
##
## Correlation of Fixed Effects:
## (Intr) ambgty c.(sd)
## ambigtynmbg -0.082
## c.(sdiff) -0.213 -0.001
## ambgtyn:.() 0.000 0.001 -0.499
</code></pre>
<p>As stated, the important difference in the fixed effects is the
size of the standard error in <code>c.(sdiff)</code> …</p>
<p><img src="data:image/png;base64,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" alt="plot of chunk coefplot"/> </p>
<p>Compare theta values? (We can't get confidence intervals without
profiling …)</p>
<h1>lme4 starting from lme4.0 results</h1>
<pre><code class="r">oldtheta <- getME(sdiff.old,"theta")
newtheta <- lme4::getME(sdiff.new,"theta")
sdiff.oldstart <- lme4::lmer(form,
data=modeldata.n400, REML=reml,
start=list(theta=getME(sdiff.old,"theta")))
</code></pre>
<pre><code>## Warning: Model failed to converge with max|grad| = 0.0491256 (tol = 0.002, component 4)
## Warning: Model failed to converge: degenerate Hessian with 1 negative eigenvalues
</code></pre>
<pre><code class="r">sdiff.oldstart.nlminb <- lme4::lmer(form,
data=modeldata.n400, REML=reml,
start=list(theta=getME(sdiff.old,"theta")),
control=lmerControl(optimizer="optimx",
optCtrl=list(method="nlminb")))
</code></pre>
<pre><code>## Warning: Parameters or bounds appear to have different scalings.
## This can cause poor performance in optimization.
## It is important for derivative free methods like BOBYQA, UOBYQA, NEWUOA.
## Warning: convergence code 1 from optimx
## Warning: Model is nearly unidentifiable: very large eigenvalue
## - Rescale variables?;Model is nearly unidentifiable: large eigenvalue ratio
## - Rescale variables?
</code></pre>
<p>We have an interesting problem here. New <code>lme4</code> calculates the
deviance slightly differently; at \(\hat \theta_{\textrm{old}}\)
it computes a deviance value about 29 units higher than <code>lme4.0</code>.
If we start <code>lme4</code> from that point, we actually get a <strong>worse</strong>
result (the deviance goes up by about 480 units!) — presumably
we get thrown off by the initial displacement of the points from
the starting value …</p>
<pre><code class="r">sdiff.newdev <- update(sdiff.new,devFunOnly=TRUE)
devvec <- c(old=deviance(sdiff.old),new=deviance(sdiff.new),
oldtheta.newdev=sdiff.newdev(oldtheta),
oldstart=deviance(sdiff.oldstart),
oldstart.nlminb=deviance(sdiff.oldstart.nlminb))
print(sort(devvec-min(devvec)),digits=3)
</code></pre>
<pre><code>## old oldstart.nlminb oldtheta.newdev oldstart
## 0.0 16.6 28.8 481.7
## new
## 751.4
</code></pre>
<pre><code class="r">afurl <- paste0("https://raw.githubusercontent.com/lme4/",
"lme4/master/misc/issues/allFit.R")
eval(parse(text=getURL(afurl)))
</code></pre>
<p>I should suppress the warnings here (they'll be preserved in the <code>@optinfo</code> slot anyway), but that will require refreshing the cache, so I'm not going to do it right now …) The second <code>allFit</code> call (starting from the <code>lme4.0</code> fitted values) doesn't work at all, for some structural reason I don't understand (having to do with package loading/unloading I think). All of this is sufficiently lengthy that I should consider putting it in a batch file rather than relying on knitr caching …</p>
<pre><code class="r">detach("package:lme4.0")
t.all <- system.time(sdiff.new.all <- allFit(sdiff.new))
</code></pre>
<pre><code>## bobyqa. : [OK]
## Nelder_Mead. : [OK]
## optimx.nlminb : [OK]
## optimx.L-BFGS-B : [OK]
## nloptWrap.NLOPT_LN_NELDERMEAD : [OK]
## nloptWrap.NLOPT_LN_BOBYQA : [OK]
</code></pre>
<pre><code class="r">sdiff.oldstart.all <- allFit(sdiff.oldstart)
</code></pre>
<pre><code>## bobyqa. : [OK]
## Nelder_Mead. : [OK]
## optimx.nlminb : [OK]
## optimx.L-BFGS-B : [OK]
## nloptWrap.NLOPT_LN_NELDERMEAD : [OK]
## nloptWrap.NLOPT_LN_BOBYQA : [OK]
</code></pre>
<pre><code class="r">library(lme4.0)
</code></pre>
<p>The bottom line is that trying lots of different optimizers doesn't do us any good in this case. Oddly enough, our Nelder-Mead implementation (which we have found to be generally less reliable than BOBYQA for big problems) turns out to do <em>best</em> of all the options (other than <code>lme4.0</code>) in this case …</p>
<pre><code class="r">is.OK <- !sapply(sdiff.new.all,inherits,"error")
all.dev <- c(sapply(sdiff.new.all[is.OK],deviance),lme4.0=deviance(sdiff.old))
print(sort(all.dev-min(all.dev)),digits=4)
</code></pre>
<pre><code>## lme4.0 Nelder_Mead.
## 0.0 397.0
## optimx.nlminb bobyqa.
## 513.1 751.4
## nloptWrap.NLOPT_LN_BOBYQA nloptWrap.NLOPT_LN_NELDERMEAD
## 813.4 910.1
</code></pre>
<p>Now try with scaled data:</p>
<pre><code class="r">detach("package:lme4.0")
t.all <- system.time(sdiff.new.scaled.all <- allFit(sdiff.new.scaled))
</code></pre>
<pre><code>## bobyqa. : [OK]
## Nelder_Mead. : [OK]
## optimx.nlminb : [OK]
## optimx.L-BFGS-B : [OK]
## nloptWrap.NLOPT_LN_NELDERMEAD : [OK]
## nloptWrap.NLOPT_LN_BOBYQA : [OK]
</code></pre>
<pre><code class="r">library(lme4.0)
</code></pre>
<p>The code and data for this example can be found on <a href="https://github.com/palday/lme4-convergence">GitHub</a></p>
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