#-------------------------------------------------------------------------------
# minimum functionality (over time with snapshots)
#-------------------------------------------------------------------------------
test_that("residual diagnostics on internal dataset is consistent", {
# Descriptive an predictive statistics for 13C/12C ratios (note .output
# argument and remove zero count analysis)
tb_R <- stat_R(real_IC, "13C", "12C", file.nm, .output = "complete",
.zero = TRUE)
# residual based augmentation of ion count data for isotope ratios
expect_snapshot(
CooksD(tb_R, "13C", "12C", file.nm, .X = Xt.pr, .N = N.pr,
.species = species.nm, .t = t.nm, .output = "flag")
)
expect_snapshot(
Rm(tb_R, "13C", "12C", file.nm, .X = Xt.pr, .N = N.pr,
.species = species.nm, .t = t.nm, .output = "flag")
)
expect_snapshot(
CV(tb_R, "13C", "12C", file.nm, .X = Xt.pr, .N = N.pr,
.species = species.nm, .t = t.nm, .output = "flag")
)
expect_snapshot(
QQ(tb_R, "13C", "12C", file.nm, .X = Xt.pr, .N = N.pr,
.species = species.nm, .t = t.nm, .output = "flag")
)
expect_snapshot(
norm_E(tb_R, "13C", "12C", file.nm, .X = Xt.pr, .N = N.pr,
.species = species.nm, .t = t.nm, .output = "flag")
)
expect_snapshot(
IR(tb_R, "13C", "12C", file.nm, .X = Xt.pr, .N = N.pr,
.species = species.nm, .t = t.nm, .output = "flag")
)
})
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