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Diffstat (limited to 'inst/unitTests/runit.mkinerrmin.R')
-rw-r--r-- | inst/unitTests/runit.mkinerrmin.R | 62 |
1 files changed, 0 insertions, 62 deletions
diff --git a/inst/unitTests/runit.mkinerrmin.R b/inst/unitTests/runit.mkinerrmin.R deleted file mode 100644 index 56a33ff9..00000000 --- a/inst/unitTests/runit.mkinerrmin.R +++ /dev/null @@ -1,62 +0,0 @@ -# Test SFO_SFO model with FOCUS_2006_D against Schaefer 2007 paper, tolerance = 1% # {{{ -# and check chi2 error values against values obtained with mkin 0.33 -test.FOCUS_2006_D_SFO_SFO <- function() -{ - SFO_SFO.1 <- mkinmod(parent = list(type = "SFO", to = "m1"), - m1 = list(type = "SFO"), use_of_ff = "min") - SFO_SFO.2 <- mkinmod(parent = list(type = "SFO", to = "m1"), - m1 = list(type = "SFO"), use_of_ff = "max") - - fit.1.e <- mkinfit(SFO_SFO.1, FOCUS_2006_D) - fit.1.d <- mkinfit(SFO_SFO.1, solution_type = "deSolve", FOCUS_2006_D) - fit.2.e <- mkinfit(SFO_SFO.2, FOCUS_2006_D) - fit.2.d <- mkinfit(SFO_SFO.2, solution_type = "deSolve", FOCUS_2006_D) - - FOCUS_2006_D_results_schaefer07_means <- c( - parent_0 = 99.65, DT50_parent = 7.04, DT50_m1 = 131.34) - - r.1.e <- c(fit.1.e$bparms.optim[[1]], endpoints(fit.1.e)$distimes[[1]]) - r.1.d <- c(fit.1.d$bparms.optim[[1]], endpoints(fit.1.d)$distimes[[1]]) - r.2.e <- c(fit.2.e$bparms.optim[[1]], endpoints(fit.2.e)$distimes[[1]]) - r.2.d <- c(fit.2.d$bparms.optim[[1]], endpoints(fit.2.d)$distimes[[1]]) - - dev.1.e <- 100 * (r.1.e - FOCUS_2006_D_results_schaefer07_means)/r.1.e - checkIdentical(as.numeric(abs(dev.1.e)) < 1, rep(TRUE, 3)) - dev.1.d <- 100 * (r.1.d - FOCUS_2006_D_results_schaefer07_means)/r.1.d - checkIdentical(as.numeric(abs(dev.1.d)) < 1, rep(TRUE, 3)) - dev.2.e <- 100 * (r.2.e - FOCUS_2006_D_results_schaefer07_means)/r.2.e - checkIdentical(as.numeric(abs(dev.2.e)) < 1, rep(TRUE, 3)) - dev.2.d <- 100 * (r.2.d - FOCUS_2006_D_results_schaefer07_means)/r.2.d - checkIdentical(as.numeric(abs(dev.2.d)) < 1, rep(TRUE, 3)) - - round(mkinerrmin(fit.2.e), 4) - round(mkinerrmin(fit.2.d), 4) - - errmin.FOCUS_2006_D_rounded = data.frame( - err.min = c(0.0640, 0.0646, 0.0469), - n.optim = c(4, 2, 2), - df = c(15, 7, 8), - row.names = c("All data", "parent", "m1")) - checkEqualsNumeric(round(mkinerrmin(fit.2.e), 4), - errmin.FOCUS_2006_D_rounded) -} # }}} - -# Test SFO_SFO model with FOCUS_2006_E against values obtained with mkin 0.33 {{{ -test.FOCUS_2006_E_SFO_SFO <- function() -{ - SFO_SFO.2 <- mkinmod(parent = list(type = "SFO", to = "m1"), - m1 = list(type = "SFO"), use_of_ff = "max") - - fit.2.e <- mkinfit(SFO_SFO.2, FOCUS_2006_E) - - round(mkinerrmin(fit.2.e), 4) - errmin.FOCUS_2006_E_rounded = data.frame( - err.min = c(0.1544, 0.1659, 0.1095), - n.optim = c(4, 2, 2), - df = c(13, 7, 6), - row.names = c("All data", "parent", "m1")) - checkEqualsNumeric(round(mkinerrmin(fit.2.e), 4), - errmin.FOCUS_2006_E_rounded) -} # }}} - - |