R Under development (unstable) (2024-06-24 r86823 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> # 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
Reaction order estimated: 2
Reaction order estimated: 1.4
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 0 | WARN 0 | SKIP 0 | PASS 140 ]
> 
> proc.time()
   user  system elapsed 
   2.48    0.43    2.92