ibuprofen: Calibration data for several compounds
In quantchem: Quantitative chemical analysis: calibration and evaluation of results
Description
Usage
Format
Source
References
Examples
Description
A sample calibration data with two replicates for each standard.
Usage
1
2
3
4
5
Format
A data frames with 14 observations containing calibration curve of 5 compounds.
concconcentration of a standard
areapeak area (response)
Source
The data was originally published by Kirkup and Mulholland (2004) to discuss
various calibration models.
References
Kirkup, L., Mulholland, M. (2004). Comparison of linear and non-linear equations
in univariate calibration. J. Chromatogr. A, 1029, 1-11.
Examples
1
2
3
4
5
6
7
Example output
Loading required package: MASS
Loading required package: outliers
------------------------------------------
If you use this package, please cite the recent paper containing description of this software:
Komsta, L. Chemometric and statistical evaluation of calibration curves in pharmaceutical analysis
- a short review on trends and recommendations. J. AOAC Int. 2012, 95, 3, 669-672.
------------------------------------------
There were 12 warnings (use warnings() to see them)
Optimal Box-Cox power on x: 1.0706
Optimal Box-Cox power on y: 0.9286
Optimal power of weighting on x: -1.1
Optimal power of weighting on y: -1.2
Mean relative error:
0.003800207 on x
0.003778024 on y
0.003999273 unweighted
Better weighting on y: TRUE
Coefficients:
Estimate Std. Error t value Pr(>|t|)
x0 P1 9285.2032 1865.6239 4.9770 0.0003215 ***
x0 P2 23785.8581 3622.5547 6.5660 4.046e-05 ***
x0 P3 15884.8049 15495.0837 1.0252 0.3294508
x0 P4 99514.3329 47017.7766 2.1165 0.0633944 .
x0 R1 6950.5171 1654.4969 4.2010 2.658e-05 ***
x0 R2 63203.4992 1746.3796 36.1912 < 2.2e-16 ***
x0 R3 -66491.1832 5816.9866 -11.4305 < 2.2e-16 ***
x0 R4 178849.2739 12441.3020 14.3754 < 2.2e-16 ***
x0 bx 39029.0998 1150.3645 33.9276 2.733e-13 ***
x0 by 16991.1734 481.2495 35.3064 1.702e-13 ***
x0 l1 3.4461 0.0116 297.8942 < 2.2e-16 ***
x0 l2 3.9466 0.1004 39.2999 3.508e-13 ***
x0 p1 7185.5156 2089.5912 3.4387 0.0049061 **
x0 p2 24476.5774 3767.7857 6.4963 4.450e-05 ***
x0 p3 6629.6786 14096.2525 0.4703 0.6482197
x0 p4 84946.0666 40940.9648 2.0748 0.0678297 .
x0 r1 6217.5759 2299.2674 2.7042 0.0068478 **
x0 r2 65588.9586 2189.9951 29.9494 < 2.2e-16 ***
x0 r3 -61566.2330 7037.2999 -8.7486 < 2.2e-16 ***
x0 r4 181251.9827 13538.4495 13.3879 < 2.2e-16 ***
x1 P1 2426.2468 9.9272 244.4036 < 2.2e-16 ***
x1 P2 2257.7038 40.2376 56.1093 7.112e-15 ***
x1 P3 2397.0219 268.3580 8.9322 4.429e-06 ***
x1 P4 452.3725 1071.8938 0.4220 0.6829048
x1 R1 2435.8586 8.8038 276.6832 < 2.2e-16 ***
x1 R2 1928.5087 19.3980 99.4182 < 2.2e-16 ***
x1 R3 3604.3647 100.7439 35.7775 < 2.2e-16 ***
x1 R4 -1726.2560 283.6322 -6.0862 1.156e-09 ***
x1 bx 1676.1184 3.9161 428.0083 < 2.2e-16 ***
x1 by 955.4713 2.2442 425.7567 < 2.2e-16 ***
x1 l1 0.9772 0.0051 193.3863 < 2.2e-16 ***
x1 l2 0.5311 0.0893 5.9447 9.666e-05 ***
x1 p1 2436.7245 9.7442 250.0686 < 2.2e-16 ***
x1 p2 2250.3211 38.8158 57.9744 4.969e-15 ***
x1 p3 2556.7962 236.8145 10.7966 7.840e-07 ***
x1 p4 784.0799 907.5734 0.8639 0.4100597
x1 r1 2439.7193 10.7220 227.5435 < 2.2e-16 ***
x1 r2 1908.1636 22.5614 84.5766 < 2.2e-16 ***
x1 r3 3530.5491 118.2254 29.8629 < 2.2e-16 ***
x1 r4 -1784.4548 300.1184 -5.9458 2.750e-09 ***
x2 P2 0.4327 0.1020 4.2425 0.0013831 **
x2 P3 -0.3205 1.4371 -0.2230 0.8280176
x2 P4 15.7540 8.7301 1.8046 0.1046309
x2 R2 1.0957 0.0492 22.2859 < 2.2e-16 ***
x2 R3 -5.9925 0.5395 -11.1077 < 2.2e-16 ***
x2 R4 36.5554 2.3100 15.8245 < 2.2e-16 ***
x2 l2 0.0989 0.0198 4.9954 0.0004055 ***
x2 p2 0.4505 0.0928 4.8556 0.0005062 ***
x2 p3 -1.1670 1.2373 -0.9432 0.3677970
x2 p4 13.0751 7.1807 1.8209 0.1019624
x2 r2 1.1374 0.0539 21.0926 < 2.2e-16 ***
x2 r3 -5.6390 0.6177 -9.1293 < 2.2e-16 ***
x2 r4 37.0616 2.3745 15.6080 < 2.2e-16 ***
x3 P3 0.0013 0.0024 0.5255 0.6106812
x3 P4 -0.0550 0.0303 -1.8153 0.1028663
x3 R3 0.0098 0.0009 10.8887 < 2.2e-16 ***
x3 R4 -0.1379 0.0080 -17.1958 < 2.2e-16 ***
x3 p3 0.0027 0.0020 1.3108 0.2192314
x3 p4 -0.0458 0.0242 -1.8915 0.0911248 .
x3 r3 0.0093 0.0010 9.1678 < 2.2e-16 ***
x3 r4 -0.1397 0.0080 -17.4378 < 2.2e-16 ***
x4 P4 0.0001 0.0000 1.8616 0.0955657 .
x4 R4 0.0002 0.0000 18.7017 < 2.2e-16 ***
x4 p4 0.0001 0.0000 2.0064 0.0757681 .
x4 r4 0.0002 0.0000 19.4460 < 2.2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residuals:
0% 25% 50% 75% 100% W
p1 -3411.2350 -956.2609 -633.8371 675.2061 4691.8080 0.8997
p2 -1791.1304 -1110.4795 -185.7831 1364.0765 1904.8696 0.8774
p3 -1653.4307 -953.4773 -287.4505 904.7724 2392.5513 0.9501
p4 -1709.4648 -668.0869 192.0693 673.1431 1986.5352 0.9720
P1 -3206.8646 -1398.9152 -530.8360 -19.7872 4901.1638 0.8633
P2 -1675.1390 -1096.8205 -140.9642 1303.0759 2020.8610 0.8798
P3 -1533.4564 -1038.8358 -260.8895 1144.0320 2162.5436 0.8972
P4 -1766.8812 -702.0159 89.2569 710.3186 1929.1188 0.9638
l1 -0.0028 -0.0021 -0.0010 0.0005 0.0066 0.8638
l2 -0.0027 -0.0010 -0.0002 0.0011 0.0034 0.9562
bx -1876.4174 -1214.4929 -38.1910 1368.0099 1819.5826 0.8834
by -756.9503 -463.0558 -23.7449 533.4825 759.1336 0.8932
r1 -3101.8541 -795.0184 -174.4162 1274.9338 5348.5869 0.9228
r2 -14769.0697 -5811.0169 -363.8833 -38.3051 1271.6388 0.7286
r3 -1084.6571 -157.4836 186.7870 420.2634 10272.1227 0.5976
r4 -14008.3794 -199.7239 -69.2792 133.9334 3682.5651 0.5809
R1 -2985.8187 -567.9099 -251.8039 1016.6706 5016.7765 0.8930
R2 -14047.1060 -5558.1056 -349.6547 -96.1537 1255.7213 0.7334
R3 -1052.9120 -135.2842 121.7895 517.0114 10736.4510 0.5918
R4 -13802.8794 -191.1081 -73.5248 125.5459 3689.5663 0.5829
Pr(<W)
p1 0.1115569
p2 0.0533595 .
p3 0.5617375
p4 0.9018410
P1 0.0337856 *
P2 0.0576933 .
P3 0.1025857
P4 0.7850142
l1 0.0343363 *
l2 0.6603242
bx 0.0649205 .
by 0.0898782 .
r1 0.2412125
r2 0.0007420 ***
r3 3.864e-05 ***
r4 2.753e-05 ***
R1 0.0893096 .
R2 0.0008371 ***
R3 3.431e-05 ***
R4 2.866e-05 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Variances:
Min Median Max K Pr(>K)
Pure 2380.50 186660.50 6830208.00 12.297 0.055653 .
Log 0.00 0.00 0.00 17.741 0.006914 **
Box-Cox 371.52 28344.99 1149255.19 12.650 0.048946 *
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Goodness of fit:
R-Sq Adj-R-Sq AIC Sigma SSR SSPE F
p1 0.99981 0.99979 261.75205 2.4215e+03 7.0363e+07 7.9093e+06 11.0548
p2 0.99994 0.99993 247.71781 1.4265e+03 2.2385e+07 7.9093e+06 3.2028
p3 0.99995 0.99993 247.49803 1.3821e+03 1.9102e+07 7.9093e+06 3.3021
p4 0.99996 0.99995 244.32234 1.2110e+03 1.3199e+07 7.9093e+06 2.3407
P1 0.99980 0.99978 262.44697 9.7260e-01 1.1351e+01 7.9093e+06 NA
P2 0.99992 0.99991 250.87610 6.2560e-01 4.3057e+00 7.9093e+06 NA
P3 0.99993 0.99990 252.49472 6.4730e-01 4.1900e+00 7.9093e+06 NA
P4 0.99995 0.99992 249.93419 5.7980e-01 3.0251e+00 7.9093e+06 NA
l1 0.99968 0.99965 -120.27937 2.9000e-03 1.0000e-04 0.0000e+00 5.8256
l2 0.99990 0.99988 -134.86012 1.7000e-03 0.0000e+00 0.0000e+00 1.0133
bx 0.99993 0.99993 246.70642 1.4149e+03 2.4022e+07 7.9093e+06 2.8521
by 0.99993 0.99993 220.63859 5.5769e+02 3.7322e+06 1.3106e+06 2.5867
r1 NA NA 262.21028 1.6418e+03 7.2705e+07 7.9093e+06 NA
r2 NA NA 290.09308 1.4818e+03 4.6182e+08 7.9093e+06 NA
r3 NA NA 276.52142 9.1631e+02 1.5185e+08 7.9093e+06 NA
r4 NA NA 291.36478 6.7655e+02 3.8005e+08 7.9093e+06 NA
R1 NA NA 264.54576 7.0860e-01 1.3187e+01 7.9093e+06 NA
R2 NA NA 297.47919 5.3140e-01 1.2015e+02 7.9093e+06 NA
R3 NA NA 287.70642 3.1990e-01 5.1822e+01 7.9093e+06 NA
R4 NA NA 284.47973 2.5870e-01 3.5676e+01 7.9093e+06 NA
Pr(>F)
p1 0.003222 **
p2 0.085570 .
p3 0.087435 .
p4 0.166576
P1 NA
P2 NA
P3 NA
P4 NA
l1 0.019460 *
l2 0.461544
bx 0.102212
by 0.123754
r1 NA
r2 NA
r3 NA
r4 NA
R1 NA
R2 NA
R3 NA
R4 NA
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Sensitivity and autocorrelation:
Sens LOD LOQ Auto DW Pr(<DW)
p1 0.9937 3.2794 9.9375 0.0939 1.38728 0.077872 .
p2 0.6339 2.0919 6.3392 -0.1521 2.13482 0.445225
p3 0.5406 1.7839 5.4057 -0.2232 2.14595 0.450685
p4 1.5445 5.0968 15.4449 -0.1887 2.04487 0.420956
P1 0.0004 0.0013 0.0040 0.0418 1.54238 0.134268
P2 0.0003 0.0009 0.0028 -0.1701 2.14728 0.454901
P3 0.0003 0.0009 0.0027 -0.1870 2.13902 0.445513
P4 0.0013 0.0042 0.0128 -0.2006 2.07907 0.444676
l1 NA NA NA 0.0226 1.41554 0.087374 .
l2 NA NA NA -0.1287 1.88321 0.271245
bx NA NA NA -0.1422 2.13281 0.533920
by NA NA NA -0.1441 2.12070 0.524305
r1 0.6729 2.2207 6.7294 0.1021 1.28980 0.053014 .
r2 0.7766 2.5627 7.7656 0.4207 0.89283 0.005037 **
r3 0.2595 0.8565 2.5954 0.0000 1.30219 0.043064 *
r4 -0.3791 -1.2511 -3.7913 0.0018 1.44432 0.104051
R1 0.0003 0.0010 0.0029 0.0724 1.35904 0.069900 .
R2 0.0003 0.0009 0.0028 0.4162 0.90904 0.005519 **
R3 0.0001 0.0003 0.0009 0.0006 1.30923 0.044293 *
R4 -0.0001 -0.0005 -0.0015 0.0014 1.44412 0.103986
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Mandel's test:
Res.Df RSS Df Sum of Sq F Pr(>F)
1 12 70363425
2 11 22384542 1 47978882 23.577 0.0005062 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Mandel's test on log-log models:
Res.Df RSS Df Sum of Sq F Pr(>F)
1 12 9.9160e-05
2 11 3.0338e-05 1 6.8822e-05 24.954 0.0004055 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
ANOVA table for unweighted models:
Res.Df RSS Df Sum of Sq F Pr(>F)
1 12 70363425
2 11 22384542 1 47978882 32.7159 0.000287 ***
3 10 19102416 1 3282126 2.2380 0.168870
4 9 13198760 1 5903657 4.0256 0.075768 .
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
ANOVA table for weighted models:
Res.Df RSS Df Sum of Sq F Pr(>F)
1 12 11.3507
2 11 4.3057 1 7.0450 20.9599 0.001331 **
3 10 4.1900 1 0.1157 0.3443 0.571805
4 9 3.0251 1 1.1649 3.4656 0.095566 .
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
quantchem documentation built on May 30, 2017, 5:28 a.m.
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Description Usage Format Source References Examples
Description
A sample calibration data with two replicates for each standard.
Usage
1 2 3 4 5 |
Format
A data frames with 14 observations containing calibration curve of 5 compounds.
concconcentration of a standard
areapeak area (response)
Source
The data was originally published by Kirkup and Mulholland (2004) to discuss various calibration models.
References
Kirkup, L., Mulholland, M. (2004). Comparison of linear and non-linear equations in univariate calibration. J. Chromatogr. A, 1029, 1-11.
Examples
1 2 3 4 5 6 7 |
Example output
Loading required package: MASS
Loading required package: outliers
------------------------------------------
If you use this package, please cite the recent paper containing description of this software:
Komsta, L. Chemometric and statistical evaluation of calibration curves in pharmaceutical analysis
- a short review on trends and recommendations. J. AOAC Int. 2012, 95, 3, 669-672.
------------------------------------------
There were 12 warnings (use warnings() to see them)
Optimal Box-Cox power on x: 1.0706
Optimal Box-Cox power on y: 0.9286
Optimal power of weighting on x: -1.1
Optimal power of weighting on y: -1.2
Mean relative error:
0.003800207 on x
0.003778024 on y
0.003999273 unweighted
Better weighting on y: TRUE
Coefficients:
Estimate Std. Error t value Pr(>|t|)
x0 P1 9285.2032 1865.6239 4.9770 0.0003215 ***
x0 P2 23785.8581 3622.5547 6.5660 4.046e-05 ***
x0 P3 15884.8049 15495.0837 1.0252 0.3294508
x0 P4 99514.3329 47017.7766 2.1165 0.0633944 .
x0 R1 6950.5171 1654.4969 4.2010 2.658e-05 ***
x0 R2 63203.4992 1746.3796 36.1912 < 2.2e-16 ***
x0 R3 -66491.1832 5816.9866 -11.4305 < 2.2e-16 ***
x0 R4 178849.2739 12441.3020 14.3754 < 2.2e-16 ***
x0 bx 39029.0998 1150.3645 33.9276 2.733e-13 ***
x0 by 16991.1734 481.2495 35.3064 1.702e-13 ***
x0 l1 3.4461 0.0116 297.8942 < 2.2e-16 ***
x0 l2 3.9466 0.1004 39.2999 3.508e-13 ***
x0 p1 7185.5156 2089.5912 3.4387 0.0049061 **
x0 p2 24476.5774 3767.7857 6.4963 4.450e-05 ***
x0 p3 6629.6786 14096.2525 0.4703 0.6482197
x0 p4 84946.0666 40940.9648 2.0748 0.0678297 .
x0 r1 6217.5759 2299.2674 2.7042 0.0068478 **
x0 r2 65588.9586 2189.9951 29.9494 < 2.2e-16 ***
x0 r3 -61566.2330 7037.2999 -8.7486 < 2.2e-16 ***
x0 r4 181251.9827 13538.4495 13.3879 < 2.2e-16 ***
x1 P1 2426.2468 9.9272 244.4036 < 2.2e-16 ***
x1 P2 2257.7038 40.2376 56.1093 7.112e-15 ***
x1 P3 2397.0219 268.3580 8.9322 4.429e-06 ***
x1 P4 452.3725 1071.8938 0.4220 0.6829048
x1 R1 2435.8586 8.8038 276.6832 < 2.2e-16 ***
x1 R2 1928.5087 19.3980 99.4182 < 2.2e-16 ***
x1 R3 3604.3647 100.7439 35.7775 < 2.2e-16 ***
x1 R4 -1726.2560 283.6322 -6.0862 1.156e-09 ***
x1 bx 1676.1184 3.9161 428.0083 < 2.2e-16 ***
x1 by 955.4713 2.2442 425.7567 < 2.2e-16 ***
x1 l1 0.9772 0.0051 193.3863 < 2.2e-16 ***
x1 l2 0.5311 0.0893 5.9447 9.666e-05 ***
x1 p1 2436.7245 9.7442 250.0686 < 2.2e-16 ***
x1 p2 2250.3211 38.8158 57.9744 4.969e-15 ***
x1 p3 2556.7962 236.8145 10.7966 7.840e-07 ***
x1 p4 784.0799 907.5734 0.8639 0.4100597
x1 r1 2439.7193 10.7220 227.5435 < 2.2e-16 ***
x1 r2 1908.1636 22.5614 84.5766 < 2.2e-16 ***
x1 r3 3530.5491 118.2254 29.8629 < 2.2e-16 ***
x1 r4 -1784.4548 300.1184 -5.9458 2.750e-09 ***
x2 P2 0.4327 0.1020 4.2425 0.0013831 **
x2 P3 -0.3205 1.4371 -0.2230 0.8280176
x2 P4 15.7540 8.7301 1.8046 0.1046309
x2 R2 1.0957 0.0492 22.2859 < 2.2e-16 ***
x2 R3 -5.9925 0.5395 -11.1077 < 2.2e-16 ***
x2 R4 36.5554 2.3100 15.8245 < 2.2e-16 ***
x2 l2 0.0989 0.0198 4.9954 0.0004055 ***
x2 p2 0.4505 0.0928 4.8556 0.0005062 ***
x2 p3 -1.1670 1.2373 -0.9432 0.3677970
x2 p4 13.0751 7.1807 1.8209 0.1019624
x2 r2 1.1374 0.0539 21.0926 < 2.2e-16 ***
x2 r3 -5.6390 0.6177 -9.1293 < 2.2e-16 ***
x2 r4 37.0616 2.3745 15.6080 < 2.2e-16 ***
x3 P3 0.0013 0.0024 0.5255 0.6106812
x3 P4 -0.0550 0.0303 -1.8153 0.1028663
x3 R3 0.0098 0.0009 10.8887 < 2.2e-16 ***
x3 R4 -0.1379 0.0080 -17.1958 < 2.2e-16 ***
x3 p3 0.0027 0.0020 1.3108 0.2192314
x3 p4 -0.0458 0.0242 -1.8915 0.0911248 .
x3 r3 0.0093 0.0010 9.1678 < 2.2e-16 ***
x3 r4 -0.1397 0.0080 -17.4378 < 2.2e-16 ***
x4 P4 0.0001 0.0000 1.8616 0.0955657 .
x4 R4 0.0002 0.0000 18.7017 < 2.2e-16 ***
x4 p4 0.0001 0.0000 2.0064 0.0757681 .
x4 r4 0.0002 0.0000 19.4460 < 2.2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residuals:
0% 25% 50% 75% 100% W
p1 -3411.2350 -956.2609 -633.8371 675.2061 4691.8080 0.8997
p2 -1791.1304 -1110.4795 -185.7831 1364.0765 1904.8696 0.8774
p3 -1653.4307 -953.4773 -287.4505 904.7724 2392.5513 0.9501
p4 -1709.4648 -668.0869 192.0693 673.1431 1986.5352 0.9720
P1 -3206.8646 -1398.9152 -530.8360 -19.7872 4901.1638 0.8633
P2 -1675.1390 -1096.8205 -140.9642 1303.0759 2020.8610 0.8798
P3 -1533.4564 -1038.8358 -260.8895 1144.0320 2162.5436 0.8972
P4 -1766.8812 -702.0159 89.2569 710.3186 1929.1188 0.9638
l1 -0.0028 -0.0021 -0.0010 0.0005 0.0066 0.8638
l2 -0.0027 -0.0010 -0.0002 0.0011 0.0034 0.9562
bx -1876.4174 -1214.4929 -38.1910 1368.0099 1819.5826 0.8834
by -756.9503 -463.0558 -23.7449 533.4825 759.1336 0.8932
r1 -3101.8541 -795.0184 -174.4162 1274.9338 5348.5869 0.9228
r2 -14769.0697 -5811.0169 -363.8833 -38.3051 1271.6388 0.7286
r3 -1084.6571 -157.4836 186.7870 420.2634 10272.1227 0.5976
r4 -14008.3794 -199.7239 -69.2792 133.9334 3682.5651 0.5809
R1 -2985.8187 -567.9099 -251.8039 1016.6706 5016.7765 0.8930
R2 -14047.1060 -5558.1056 -349.6547 -96.1537 1255.7213 0.7334
R3 -1052.9120 -135.2842 121.7895 517.0114 10736.4510 0.5918
R4 -13802.8794 -191.1081 -73.5248 125.5459 3689.5663 0.5829
Pr(<W)
p1 0.1115569
p2 0.0533595 .
p3 0.5617375
p4 0.9018410
P1 0.0337856 *
P2 0.0576933 .
P3 0.1025857
P4 0.7850142
l1 0.0343363 *
l2 0.6603242
bx 0.0649205 .
by 0.0898782 .
r1 0.2412125
r2 0.0007420 ***
r3 3.864e-05 ***
r4 2.753e-05 ***
R1 0.0893096 .
R2 0.0008371 ***
R3 3.431e-05 ***
R4 2.866e-05 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Variances:
Min Median Max K Pr(>K)
Pure 2380.50 186660.50 6830208.00 12.297 0.055653 .
Log 0.00 0.00 0.00 17.741 0.006914 **
Box-Cox 371.52 28344.99 1149255.19 12.650 0.048946 *
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Goodness of fit:
R-Sq Adj-R-Sq AIC Sigma SSR SSPE F
p1 0.99981 0.99979 261.75205 2.4215e+03 7.0363e+07 7.9093e+06 11.0548
p2 0.99994 0.99993 247.71781 1.4265e+03 2.2385e+07 7.9093e+06 3.2028
p3 0.99995 0.99993 247.49803 1.3821e+03 1.9102e+07 7.9093e+06 3.3021
p4 0.99996 0.99995 244.32234 1.2110e+03 1.3199e+07 7.9093e+06 2.3407
P1 0.99980 0.99978 262.44697 9.7260e-01 1.1351e+01 7.9093e+06 NA
P2 0.99992 0.99991 250.87610 6.2560e-01 4.3057e+00 7.9093e+06 NA
P3 0.99993 0.99990 252.49472 6.4730e-01 4.1900e+00 7.9093e+06 NA
P4 0.99995 0.99992 249.93419 5.7980e-01 3.0251e+00 7.9093e+06 NA
l1 0.99968 0.99965 -120.27937 2.9000e-03 1.0000e-04 0.0000e+00 5.8256
l2 0.99990 0.99988 -134.86012 1.7000e-03 0.0000e+00 0.0000e+00 1.0133
bx 0.99993 0.99993 246.70642 1.4149e+03 2.4022e+07 7.9093e+06 2.8521
by 0.99993 0.99993 220.63859 5.5769e+02 3.7322e+06 1.3106e+06 2.5867
r1 NA NA 262.21028 1.6418e+03 7.2705e+07 7.9093e+06 NA
r2 NA NA 290.09308 1.4818e+03 4.6182e+08 7.9093e+06 NA
r3 NA NA 276.52142 9.1631e+02 1.5185e+08 7.9093e+06 NA
r4 NA NA 291.36478 6.7655e+02 3.8005e+08 7.9093e+06 NA
R1 NA NA 264.54576 7.0860e-01 1.3187e+01 7.9093e+06 NA
R2 NA NA 297.47919 5.3140e-01 1.2015e+02 7.9093e+06 NA
R3 NA NA 287.70642 3.1990e-01 5.1822e+01 7.9093e+06 NA
R4 NA NA 284.47973 2.5870e-01 3.5676e+01 7.9093e+06 NA
Pr(>F)
p1 0.003222 **
p2 0.085570 .
p3 0.087435 .
p4 0.166576
P1 NA
P2 NA
P3 NA
P4 NA
l1 0.019460 *
l2 0.461544
bx 0.102212
by 0.123754
r1 NA
r2 NA
r3 NA
r4 NA
R1 NA
R2 NA
R3 NA
R4 NA
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Sensitivity and autocorrelation:
Sens LOD LOQ Auto DW Pr(<DW)
p1 0.9937 3.2794 9.9375 0.0939 1.38728 0.077872 .
p2 0.6339 2.0919 6.3392 -0.1521 2.13482 0.445225
p3 0.5406 1.7839 5.4057 -0.2232 2.14595 0.450685
p4 1.5445 5.0968 15.4449 -0.1887 2.04487 0.420956
P1 0.0004 0.0013 0.0040 0.0418 1.54238 0.134268
P2 0.0003 0.0009 0.0028 -0.1701 2.14728 0.454901
P3 0.0003 0.0009 0.0027 -0.1870 2.13902 0.445513
P4 0.0013 0.0042 0.0128 -0.2006 2.07907 0.444676
l1 NA NA NA 0.0226 1.41554 0.087374 .
l2 NA NA NA -0.1287 1.88321 0.271245
bx NA NA NA -0.1422 2.13281 0.533920
by NA NA NA -0.1441 2.12070 0.524305
r1 0.6729 2.2207 6.7294 0.1021 1.28980 0.053014 .
r2 0.7766 2.5627 7.7656 0.4207 0.89283 0.005037 **
r3 0.2595 0.8565 2.5954 0.0000 1.30219 0.043064 *
r4 -0.3791 -1.2511 -3.7913 0.0018 1.44432 0.104051
R1 0.0003 0.0010 0.0029 0.0724 1.35904 0.069900 .
R2 0.0003 0.0009 0.0028 0.4162 0.90904 0.005519 **
R3 0.0001 0.0003 0.0009 0.0006 1.30923 0.044293 *
R4 -0.0001 -0.0005 -0.0015 0.0014 1.44412 0.103986
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Mandel's test:
Res.Df RSS Df Sum of Sq F Pr(>F)
1 12 70363425
2 11 22384542 1 47978882 23.577 0.0005062 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Mandel's test on log-log models:
Res.Df RSS Df Sum of Sq F Pr(>F)
1 12 9.9160e-05
2 11 3.0338e-05 1 6.8822e-05 24.954 0.0004055 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
ANOVA table for unweighted models:
Res.Df RSS Df Sum of Sq F Pr(>F)
1 12 70363425
2 11 22384542 1 47978882 32.7159 0.000287 ***
3 10 19102416 1 3282126 2.2380 0.168870
4 9 13198760 1 5903657 4.0256 0.075768 .
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
ANOVA table for weighted models:
Res.Df RSS Df Sum of Sq F Pr(>F)
1 12 11.3507
2 11 4.3057 1 7.0450 20.9599 0.001331 **
3 10 4.1900 1 0.1157 0.3443 0.571805
4 9 3.0251 1 1.1649 3.4656 0.095566 .
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
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