Nothing
library(lme4)
library(testthat)
## use old (<=3.5.2) sample() algorithm if necessary
if ("sample.kind" %in% names(formals(RNGkind))) {
suppressWarnings(RNGkind("Mersenne-Twister", "Inversion", "Rounding"))
}
context("lmList")
test_that("basic lmList", {
set.seed(17)
fm1. <- lmList(Reaction ~ Days | Subject, sleepstudy, pool=FALSE)
fm1 <- lmList(Reaction ~ Days | Subject, sleepstudy)
cf.fm1 <- data.frame(
`(Intercept)` =
c(244.19267, 205.05495, 203.48423, 289.68509, 285.73897, 264.25161,
275.01911, 240.16291, 263.03469, 290.10413, 215.11177, 225.8346,
261.14701, 276.37207, 254.96815, 210.44909, 253.63604, 267.0448),
Days =
c(21.764702, 2.2617855, 6.1148988, 3.0080727, 5.2660188, 9.5667679,
9.1420455, 12.253141, -2.8810339, 19.025974, 13.493933, 19.504017,
6.4334976, 13.566549, 11.348109, 18.056151, 9.1884448, 11.298073))
expect_equal(signif(coef(fm1), 8), cf.fm1,
tolerance = 1e-7, check.attributes=FALSE)
expect_equal(coef(fm1.), coef(fm1))
expect_true(inherits(formula(fm1), "formula")) ## <- had been wrong till 2015-04-09
sm1. <- summary(fm1.)
sm1 <- summary(fm1)
expect_equal(sm1$RSE, 25.5918156267, tolerance = 1e-10)
cf1 <- confint(fm1)
## Calling the plot.lmList4.confint() method :
expect_true(inherits(pcf1 <- plot(cf1), "trellis"))
})
test_that("orthodont", {
data(Orthodont, package="nlme")
fm2 <- lmList(distance ~ age | Subject, Orthodont)
fe2 <- fixef(fm2)
expect_equal(fe2, c("(Intercept)" = 16.7611111111111,
age = 0.660185185185185))
expect_true(inherits(pairs(fm2), "trellis"))
})
test_that("simulated", {
set.seed(12)
d <- data.frame(
g = sample(c("A","B","C","D","E"), 250, replace=TRUE),
y1 = runif(250, max=100),
y2 = sample(c(0,1), 250, replace=TRUE)
)
fm3.1 <- lmList(y1 ~ 1 | g, data=d)
expect_equal(coef(fm3.1),
structure(list(`(Intercept)` = c(45.8945525606396, 50.1127995110841,
49.5320538515225, 52.4286874305165, 48.7716343882989)),
.Names = "(Intercept)",
row.names = c("A",
"B", "C", "D", "E"), class = "data.frame",
label = "Coefficients", effectNames = "(Intercept)",
standardized = FALSE))
cf31 <- confint(fm3.1)
expect_true(inherits(plot(cf31), "trellis"))
fm3.2 <- lmList(y2 ~ 1 | g, data=d, family=binomial)
## ^^^^^^^^ "glmList"
cf32 <- suppressMessages(confint(fm3.2,quiet=TRUE))
expect_identical(dim(cf32), c(5L,2:1))
expect_true(inherits(plot(cf32), "trellis"))
expect_equal(unname(getDataPart(signif(drop(cf32), 6))),
cbind(c(-0.400041, -0.311489, -1.07774, -0.841075, -0.273828),
c( 0.743188, 0.768538, 0.0723138, 0.274392, 0.890795)))
})
test_that("cbpp", {
## "glmList" (2) -- here, herd == 8 has only one observation => not estimable
expect_warning(fm4 <- lmList(cbind(incidence, size - incidence) ~ period | herd,
family=binomial, data=cbpp),
"Fitting failed for ")
cf4 <- coef(fm4) # with some 5 NA's
## match NA locations
expect_equal(dim(cf4),c(15,4))
expect_identical(which(is.na(cf4)),
sort(as.integer(c(8+15*(0:3), 47))))
expect_warning(fm4B <- lme4::lmList(incidence ~ period | herd,
data=cbpp),
"Fitting failed")
if(FALSE) {
## FIXME: this is actually an nlme bug ...
## https://bugs.r-project.org/bugzilla/show_bug.cgi?id=16542
try(summary(fm4))
## Error in `[<-`(`*tmp*`, use, use, ii, value = lst[[ii]]) :
## subscript out of bounds
library(nlme)
data("cbpp",package="lme4")
fm6 <- nlme::lmList(incidence ~ period | herd, data=cbpp)
try(coef(fm6)) ## coef does *not* work here
try(summary(fm6))
## this is a slightly odd example because the residual df from
## these fits are in fact zero ... so pooled.SD fails, as it should
}
})
test_that("NA,weights,offsets", {
## from GH #320
set.seed(101)
x <- 1:8
y <- c(2,2,5,4,3,1,2,1)
g <- c(1,1,1,2,2,3,3,3)
dat <- data.frame(x=x, y=y, g=g)
m1 <- lmList(y ~ x | g, data=dat)
expect_false(any(is.na(coef(m1))))
w <- runif(nrow(sleepstudy))
m2 <- lmList(Reaction ~ Days | Subject,
weights=w, sleepstudy)
ss <- subset(sleepstudy,Subject==levels(Subject)[1])
m2X <- lm(Reaction ~ Days, ss, weights=w[1:nrow(ss)])
expect_equal(coef(m2X),as.matrix(coef(m2))[1,])
m3 <- lmList(Reaction ~ Days | Subject, sleepstudy)
m4 <- lmList(Reaction ~ Days | Subject,
offset=w, sleepstudy)
m4X <- lm(Reaction ~ Days, ss, offset=w[1:nrow(ss)])
expect_equal(coef(m4X),as.matrix(coef(m4))[1,])
expect_false(identical(m2,m3))
expect_false(identical(m4,m3))
m5 <- lmList(Reaction ~ Days + offset(w) | Subject, sleepstudy)
expect_equal(coef(m5),coef(m4))
## more from GH 320
dat2 <- data.frame(dat,xx=c(NA,NA,NA,1:4,NA))
m5 <- lmList(y ~ x | g, data=dat2)
expect_equal(unlist(coef(m5)[1,]),
coef(lm(y~x,subset=(g==1))))
expect_equal(unlist(coef(m5)[3,]),
coef(lm(y~x,subset=(g==3))))
})
test_that("pooled",
{
## GH #26
fm_lme4 <- lme4:::lmList(Reaction ~ Days | Subject, sleepstudy)
fm_nlme <- nlme:::lmList(Reaction ~ Days | Subject, sleepstudy)
fm_nlme_nopool <- nlme:::lmList(Reaction ~ Days | Subject, sleepstudy, pool=FALSE)
ci_lme4_pooled <- confint(fm_lme4,pool=TRUE) #get low and high CI estimates and pooled sd
ci_nlme_pooled <- nlme:::intervals(fm_nlme,pool=TRUE)
expect_equal(unname(ci_lme4_pooled[,,1]),unname(ci_nlme_pooled[,c(1,3),1]))
ci_lme4_nopool1 <- confint(fm_lme4,pool=FALSE)
ci_lme4_nopool2 <- confint(fm_lme4)
expect_identical(ci_lme4_nopool1,ci_lme4_nopool2)
## BUG in nlme::intervals ... ? can't get CIs on unpooled fits
## nlme::intervals(fm_nlme,pool=FALSE)
## nlme::intervals(fm_nlme_nopool)
expect_equal(ci_lme4_nopool1[1:3,,1],
structure(c(179.433862895996, 193.026448122379, 186.785722998616,
308.951475285822, 217.083442786712, 220.182727910474),
.Dim = c(3L, 2L), .Dimnames = list(c("308", "309", "310"),
c("2.5 %", "97.5 %"))))
})
test_that("derived variables",
{
fm_lme4 <- lme4:::lmList(log(Reaction) ~ Days | Subject, sleepstudy)
fm_nlme <- nlme:::lmList(log(Reaction) ~ Days | Subject, sleepstudy)
expect_equal(c(coef(fm_lme4)),c(coef(fm_nlme)),tolerance=1e-5)
})
test_that("subset", {
data(MathAchieve, package="nlme")
data(MathAchSchool, package="nlme")
RB <- merge(MathAchieve, MathAchSchool[, c("School", "Sector")],
by="School")
names(RB) <- tolower(names(RB))
RB$cses <- with(RB, ses - meanses)
cat.list.nlme <- nlme::lmList(mathach ~ cses | school,
subset = sector=="Catholic",
data=RB)
cat.list.lme4 <- lme4::lmList(mathach ~ cses | school,
subset = sector=="Catholic", data=RB)
expect_equal(c(coef(cat.list.lme4)),
c(coef(cat.list.nlme)),tolerance=1e-5)
})
if (requireNamespace("tibble")) {
test_that("avoid tibble warnings", {
## GH 645
op <- options(warn = 2)
m1 <- lmList(Reaction ~ Days | Subject, data = sleepstudy)
m2 <- lmList(Reaction ~ Days | Subject, data = tibble::as_tibble(sleepstudy))
expect_identical(coef(m1), coef(m2))
options(op)
})
}
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