CRAN Package Check Results for Package chemdeg

Last updated on 2024-06-02 05:57:02 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.2 2.53 42.20 44.73 ERROR
r-devel-linux-x86_64-debian-gcc 0.1.2 2.23 31.79 34.02 OK
r-devel-linux-x86_64-fedora-clang 0.1.2 55.87 OK
r-devel-linux-x86_64-fedora-gcc 0.1.2 65.17 OK
r-devel-windows-x86_64 0.1.2 3.00 53.00 56.00 OK
r-patched-linux-x86_64 0.1.2 3.31 40.32 43.63 OK
r-release-linux-x86_64 0.1.2 2.28 40.27 42.55 OK
r-release-macos-arm64 0.1.2 25.00 OK
r-release-windows-x86_64 0.1.2 4.00 53.00 57.00 OK
r-oldrel-macos-arm64 0.1.2 27.00 OK
r-oldrel-macos-x86_64 0.1.2 67.00 OK
r-oldrel-windows-x86_64 0.1.2 3.00 56.00 59.00 OK

Check Details

Version: 0.1.2
Check: tests
Result: ERROR Running ‘testthat.R’ [5s/6s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(chemdeg) > > test_check("chemdeg") Reaction order estimated: 0 Reaction order estimated: 0 Reaction order estimated: 1 Reaction order estimated: 1 Kinetic model was not found in object. Probably the phasespace regression was not significant. Reaction order estimated: 1.5 Reaction order estimated: 1 Reaction order estimated: 1 Reaction order estimated: 1 Reaction order estimated: 0 Reaction order estimated: 1 Reaction order estimated: 1 Reaction order estimated: 0 Reaction order estimated: 1 Reaction order estimated: 1 Reaction order estimated: 1 Reaction order estimated: 1 Reaction order estimated: 0 Linear regression in the phase space: log(dx/dt)= -0.04 log(x) + ( -3.25 ) Estimate of n: Estimate Std. Error t value Pr(>|t|) -0.03946285 0.33112985 -0.11917637 0.91266817 Confidence interval of n: 2.5 % 97.5 % -1.093266 1.014340 Estimate of the intercept is significant; but the estimate of slope is not. The data are likely to be described by an 0-order kinetic model. Linear regression was performed (0-order kinetics). Estimated k value: Call: stats::lm(formula = y ~ t, data = list(t = dframe[[1]], y = dframe[[2]])) Residuals: 1 2 3 4 5 6 -0.009048 0.025238 -0.030476 0.023810 -0.011905 0.002381 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.999048 0.017587 56.81 5.75e-07 *** t -0.041071 0.001452 -28.28 9.30e-06 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.0243 on 4 degrees of freedom Multiple R-squared: 0.995, Adjusted R-squared: 0.9938 F-statistic: 799.9 on 1 and 4 DF, p-value: 9.3e-06 Confidence interval of k: 2.5 % 97.5 % 0.04510334 0.03703951 ----------------------------------------------------- Reaction order estimated: 1 Linear regression in the phase space: log(dx/dt)= 0.89 log(x) + ( -1.91 ) Estimate of n: Estimate Std. Error t value Pr(>|t|) 0.888563736 0.127851818 6.949949979 0.006110383 Confidence interval of n: 2.5 % 97.5 % 0.4816822 1.2954453 Statistical analysis indicates that an order 1 degradation kineitc model is likely to describe the data. The null hypothesis H0: "The process is described by an order 1kinetic model" cannot be rejected. Non-linear least squares regression was performed with an order 1 kinetic model: Estimate of k: Estimate Std. Error t value Pr(>|t|) k 0.1738856 0.002646756 65.69763 1.546955e-08 Waiting for profiling to be done... Confidence interval of k: 2.5% 97.5% 0.1673077 0.1808505 Goodness-of-fit: Value AIC: -36.613622360 AICc: -35.613622360 BIC: -37.030103421 RMSE: 0.008984573 Chi-sq_red: NA NB: Reduced Chi-squared is not calculated with unweighted data ----------------------------------------------------- Linear regression in the phase space: log(dx/dt)= -0.2 log(x) + ( -2.25 ) Estimate of n: Estimate Std. Error t value Pr(>|t|) -0.1972895 0.9500588 -0.2076603 0.8547198 Confidence interval of n: 2.5 % 97.5 % -4.285062 3.890483 The process is not appropriately described by a standard n-order kinetic model. Alternative models should be evaluated. ----------------------------------------------------- Reaction order estimated: 1.4 Linear regression in the phase space: log(dx/dt)= 1.44 log(x) + ( -1.92 ) Estimate of n: Estimate Std. Error t value Pr(>|t|) 1.435918e+00 5.165275e-02 2.779944e+01 1.021746e-04 Confidence interval of n: 2.5 % 97.5 % 1.271536 1.600300 The confidence interval of n excludes integer-valued orders. The best estimate n= 1.4 was used to perform the regression. Non-linear least squares regression was performed with an order 1.4 kinetic model: Estimate of k: Estimate Std. Error t value Pr(>|t|) k 0.05819536 0.0006888422 84.48287 4.403611e-09 Waiting for profiling to be done... Confidence interval of k: 2.5% 97.5% 0.05645665 0.06001526 Goodness-of-fit: Value AIC: -13.205197 AICc: -12.205197 BIC: -13.621678 RMSE: 2.012016 Chi-sq_red: 6.166408 ----------------------------------------------------- Reaction order estimated: 0 Linear regression in the phase space: log(dx/dt)= 8.62 log(x) + ( -2.22 ) Estimate of n: Estimate Std. Error t value Pr(>|t|) 8.6222350 6.5703303 1.3122986 0.2807935 Confidence interval of n: 2.5 % 97.5 % -12.28749 29.53196 Estimate of the intercept is significant; but the estimate of slope is not. The data are likely to be described by an 0-order kinetic model. Estimates of model parameters are not significant. Alternative models should be evaluated. Linear regression in the phase space: log(dx/dt)= 8.62 log(x) + ( -2.22 ) Estimate of n: Estimate Std. Error t value Pr(>|t|) 8.6222350 6.5703303 1.3122986 0.2807935 Confidence interval of n: 2.5 % 97.5 % -12.28749 29.53196 Estimate of the intercept is significant; but the estimate of slope is not. The data are likely to be described by an 0-order kinetic model. Estimates of model parameters are not significant. Alternative models should be evaluated.Reaction order estimated: 1 Linear regression in the phase space: log(dx/dt)= 1.02 log(x) + ( -0.77 ) Estimate of n: Estimate Std. Error t value Pr(>|t|) 1.015092e+00 3.052917e-02 3.324993e+01 5.979796e-05 Confidence interval of n: 2.5 % 97.5 % 0.9179351 1.1122499 Statistical analysis indicates that an order 1 degradation kineitc model is likely to describe the data. The null hypothesis H0: "The process is described by an order 1kinetic model" cannot be rejected. Estimates of model parameters are not significant. Alternative models should be evaluated Linear regression in the phase space: log(dx/dt)= 1.02 log(x) + ( -0.77 ) Estimate of n: Estimate Std. Error t value Pr(>|t|) 1.015092e+00 3.052917e-02 3.324993e+01 5.979796e-05 Confidence interval of n: 2.5 % 97.5 % 0.9179351 1.1122499 Statistical analysis indicates that an order 1 degradation kineitc model is likely to describe the data. The null hypothesis H0: "The process is described by an order 1kinetic model" cannot be rejected. Estimates of model parameters are not significant. Alternative models should be evaluatedReaction order estimated: 1.4 Reaction order estimated: 1.4 Reaction order estimated: 0 Reaction order estimated: 0 NB: parameters of the regression are not significant! [ FAIL 3 | WARN 0 | SKIP 0 | PASS 137 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-det_order.R:228:3'): det_order works with 2-order model with unweighted data ── res[[6]] (`actual`) not equal to c(Order = 2) (`expected`). `actual`: NaN `expected`: 2 ── Failure ('test-det_order.R:229:3'): det_order works with 2-order model with unweighted data ── k_value(res) (`actual`) not equal to c(k = 0.5) (`expected`). `actual` is NULL `expected` is a double vector (0.5) ── Failure ('test-det_order.R:230:3'): det_order works with 2-order model with unweighted data ── res[[4]] is not an S3 object [ FAIL 3 | WARN 0 | SKIP 0 | PASS 137 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-debian-clang