# WITHOUT reference_level_position
n<-250
x1<-sample(c(0,1),n,replace=TRUE,prob=c(0.75,0.25))
x2<-vector("numeric",n)
x2[x1==0]<-sample(c(0,1),n-sum(x1==1),replace=TRUE,prob=c(2/3,1/3))
z<-rnorm(n,0.5)
# create latent outcome variable
latenty<-0.5+1.5*x1-0.5*x2+0.5*z+rnorm(n,sd=exp(0.5*x1-0.5*x2))
# observed y has four possible values: -1,0,1,2
# threshold values are: -0.5, 0.5, 1.5.
y<-vector("numeric",n)
y[latenty< -0.5]<--1
y[latenty>= -0.5 & latenty<0.5]<- 0
y[latenty>= 0.5 & latenty<1.5]<- 1
y[latenty>= 1.5]<- 2
dataset<-data.frame(y,x1,x2)
logit <- nnet::multinom(y ~ x1 + x2 + z, data=dataset)
latex_table <- light_table(
logit, type = "latex", stats.list = c("n","ll","lln","bic","link")
)
testthat::test_that("Count and Selection distributions: empty over 3 columns", {
testthat::expect_equal(
sum(
grepl("Count distribution & \\\\multicolumn\\{3\\}\\{c\\}\\{\\} \\\\\\\\", latex_table,
perl = TRUE)
),
1L
)
testthat::expect_equal(
sum(
grepl("Selection distribution & \\\\multicolumn\\{3\\}\\{c\\}\\{\\} \\\\\\\\", latex_table,
perl = TRUE)
),
1L
)
})
testthat::test_that("Log-likelihood, Log-likelihood by obs and BIC over 3 columns", {
testthat::expect_equal(
sum(
grepl(
sprintf("Log likelihood & \\\\multicolumn\\{3\\}\\{c\\}\\{\\$-\\$%s\\} \\\\\\\\",
abs(as.numeric(round(logLik(logit))))),
latex_table)
),
1L
)
testthat::expect_equal(
sum(
grepl(
sprintf("Log likelihood \\(by obs\\.\\) & \\\\multicolumn\\{3\\}\\{c\\}\\{\\$-\\$%s\\} \\\\\\\\",
format(
abs(as.numeric(logLik(logit)))/nrow(logit$residuals),
digits = 3L, nsmall = 3L)
),
latex_table)
),
1L
)
testthat::expect_equal(
sum(
grepl(
sprintf("Bayesian information criterion & \\\\multicolumn\\{3\\}\\{c\\}\\{%s\\} \\\\\\\\",
round(BIC(logit))),
latex_table)
),
1L
)
})
# With reference_level_position -----------------
# ref level position not in last position ======
latex_table <- light_table(
logit, type = "latex", stats.list = c("n","ll","lln","bic","link"),
reference_level_position = 2L
)
testthat::test_that("Count and Selection distributions: empty over 4 columns", {
testthat::expect_equal(
sum(
grepl("Count distribution & \\\\multicolumn\\{4\\}\\{c\\}\\{\\} \\\\\\\\", latex_table,
perl = TRUE)
),
1L
)
testthat::expect_equal(
sum(
grepl("Selection distribution & \\\\multicolumn\\{4\\}\\{c\\}\\{\\} \\\\\\\\", latex_table,
perl = TRUE)
),
1L
)
})
testthat::test_that("Log-likelihood, Log-likelihood by obs and BIC over 4 columns", {
testthat::expect_equal(
sum(
grepl(
sprintf("Log likelihood & \\\\multicolumn\\{4\\}\\{c\\}\\{\\$-\\$%s\\} \\\\\\\\",
abs(as.numeric(round(logLik(logit))))),
latex_table)
),
1L
)
testthat::expect_equal(
sum(
grepl(
sprintf("Log likelihood \\(by obs\\.\\) & \\\\multicolumn\\{4\\}\\{c\\}\\{\\$-\\$%s\\} \\\\\\\\",
format(
abs(as.numeric(logLik(logit)))/nrow(logit$residuals),
digits = 3L, nsmall = 3L)
),
latex_table)
),
1L
)
testthat::expect_equal(
sum(
grepl(
sprintf("Bayesian information criterion & \\\\multicolumn\\{4\\}\\{c\\}\\{%s\\} \\\\\\\\",
round(BIC(logit))),
latex_table)
),
1L
)
})
latex_table_noref <- light_table(
logit, type = "latex", stats.list = c("n","ll","lln","bic","link")
)
body_part_noref <- latex_table_noref[grep("(Intercept)", latex_table_noref):(grep("^z", latex_table_noref) + 2)]
body_part_ref <- latex_table[grep("(Intercept)", latex_table_noref):(grep("^z", latex_table_noref) + 2)]
body_part_noref <- stringr::str_split(body_part_noref, "&", simplify = TRUE)
body_part_ref <- stringr::str_split(body_part_ref, "&", simplify = TRUE)
testthat::test_that("Same table except for reference column", {
testthat::expect_equal(
cbind(
trimws(body_part_noref[,1:2]),
trimws(rep(c("(Ref) ", " ", " "), 4L)),
trimws(body_part_noref[,3:4])
),
trimws(body_part_ref)
)
})
# reference position in last position ===========
latex_table2 <- light_table(
logit, type = "latex", stats.list = c("n","ll","lln","bic","link"),
reference_level_position = 4L
)
testthat::test_that("Count and Selection distributions: empty over 4 columns", {
testthat::expect_equal(
sum(
grepl("Count distribution & \\\\multicolumn\\{4\\}\\{c\\}\\{\\} \\\\\\\\",
latex_table2,
perl = TRUE)
),
1L
)
testthat::expect_equal(
sum(
grepl("Selection distribution & \\\\multicolumn\\{4\\}\\{c\\}\\{\\} \\\\\\\\",
latex_table2,
perl = TRUE)
),
1L
)
})
testthat::test_that("Log-likelihood, Log-likelihood by obs and BIC over 4 columns", {
testthat::expect_equal(
sum(
grepl(
sprintf("Log likelihood & \\\\multicolumn\\{4\\}\\{c\\}\\{\\$-\\$%s\\} \\\\\\\\",
abs(as.numeric(round(logLik(logit))))),
latex_table2)
),
1L
)
testthat::expect_equal(
sum(
grepl(
sprintf("Log likelihood \\(by obs\\.\\) & \\\\multicolumn\\{4\\}\\{c\\}\\{\\$-\\$%s\\} \\\\\\\\",
format(
abs(as.numeric(logLik(logit)))/nrow(logit$residuals),
digits = 3L, nsmall = 3L)
),
latex_table2)
),
1L
)
testthat::expect_equal(
sum(
grepl(
sprintf("Bayesian information criterion & \\\\multicolumn\\{4\\}\\{c\\}\\{%s\\} \\\\\\\\",
round(BIC(logit))),
latex_table2)
),
1L
)
})
# latex_table_noref <- light_table(
# logit, type = "latex",
# stats.list = c("n","ll","lln","bic","link")
# )
#
# body_part_noref <- latex_table_noref[grep("(Intercept)", latex_table_noref):(grep("^z", latex_table_noref) + 2)]
# body_part_ref <- latex_table2[grep("(Intercept)", latex_table_noref):(grep("^z", latex_table_noref) + 2)]
#
#
# body_part_noref <- stringr::str_split(body_part_noref, "&", simplify = TRUE)
# body_part_ref <- stringr::str_split(body_part_ref, "&", simplify = TRUE)
#
#
# testthat::test_that("Same table except for reference column", {
#
# testthat::expect_equal(
# cbind(
# trimws(body_part_noref),
# trimws(rep(c("(Ref)\\\\ ", " ", " "), 4L))
# ),
# trimws(body_part_ref)
# )
#
# })
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