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Fixed another issue with the PPP ER table
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@Farewe
Farewe committed Apr 8, 2022
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2 changes: 1 addition & 1 deletion Readme.Rmd
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Expand Up @@ -250,7 +250,7 @@ or `PPP` in their names.
<tr>
<td class="tg-5pln">Definitions</td>
<td class="tg-y698"><a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm" target="_blank" rel="noopener noreferrer">OECD definition of PPP</a></td>
<td class="tg-y698"><a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm" target="_blank" rel="noopener noreferrer">OECD definition of PPP</a></td>
<td class="tg-y698"><a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm" target="_blank" rel="noopener noreferrer">OECD definition of ER</a></td>
</tr>
<tr>
<td class="tg-jq0u">Useful resources to choose between PPP and ER</td>
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86 changes: 43 additions & 43 deletions Readme.md
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Expand Up @@ -314,7 +314,7 @@ definition of PPP</a>
</td>
<td class="tg-y698">
<a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm" target="_blank" rel="noopener noreferrer">OECD
definition of PPP</a>
definition of ER</a>
</td>
</tr>
<tr>
Expand Down Expand Up @@ -1494,7 +1494,7 @@ global.trend
## . Linear: US$ million 274,237.73
## . Quadratic: US$ million 82,229.81
## o Robust regression:
## . Linear: US$ million 228,816.28
## . Linear: US$ million 228,816.30
## . Quadratic: US$ million 73,186.53
## o Multiple Adapative Regression Splines: US$ million 415,446.75
## o Generalized Additive Model: US$ million 230,593.98
Expand Down Expand Up @@ -1732,7 +1732,7 @@ global.trend$model.summary
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -97.892418 9.175962 -10.67 1.17e-13 ***
## (Intercept) -97.892420 9.175960 -10.67 1.17e-13 ***
## Year 0.051115 0.004617 11.07 3.59e-14 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Expand Down Expand Up @@ -1819,9 +1819,9 @@ global.trend$model.summary
##
## Formula:
## transf.cost ~ s(Year, k = gam.k)
## <environment: 0x00000000190c2390>
## <environment: 0x00000000190c5540>
## ~s(Year, k = gam.k)
## <environment: 0x00000000190c2390>
## <environment: 0x00000000190c5540>
##
## Parametric coefficients:
## Estimate Std. Error z value Pr(>|z|)
Expand Down Expand Up @@ -1860,27 +1860,27 @@ global.trend$model.summary
## Termination condition: RSq changed by less than 0.001 at 7 terms
## Importance: Year
## Number of terms at each degree of interaction: 1 5 (additive model)
## GCV 0.1267195 RSS 3.255282 GRSq 0.8060323 RSq 0.8841804 CVRSq 0.6540798
## GCV 0.1267195 RSS 3.255282 GRSq 0.8060323 RSq 0.8841804 CVRSq 0.6620403
##
## Note: the cross-validation sd's below are standard deviations across folds
##
## Cross validation: nterms 2.73 sd 1.31 nvars 1.00 sd 0.00
## Cross validation: nterms 2.68 sd 1.24 nvars 1.00 sd 0.00
##
## CVRSq sd MaxErr sd
## 0.654 0.251 1.42 0.82
## CVRSq sd MaxErr sd
## 0.662 0.247 1.37 0.809
##
## varmod: method "lm" min.sd 0.0347 iter.rsq 0.015
## varmod: method "lm" min.sd 0.0342 iter.rsq 0.020
##
## stddev of predictions:
## coefficients iter.stderr iter.stderr%
## (Intercept) 0.19431372 0.184712 95
## transf.cost 0.03844936 0.047283 123
## (Intercept) 0.16782689 0.18071 108
## transf.cost 0.04400325 0.0464717 106
##
## mean smallest largest ratio
## 95% prediction interval 1.358642 1.136756 1.593152 1.401491
## mean smallest largest ratio
## 95% prediction interval 1.341043 1.087105 1.609427 1.48047
##
## 68% 80% 90% 95%
## response values in prediction interval 80 89 98 100
## 68% 80% 90% 95%
## response values in prediction interval 80 87 98 98
## ------------------------------------------------------------------------------------------------------------
##
## ______________________________ Quantile regressions _______________________________
Expand Down Expand Up @@ -2001,29 +2001,29 @@ summarized.summary
## 16 _________________ _________________
## 17 Robust regression - Linear
## 18 Estimate
## 19 Intercept -97.8924184105278
## 20 Year 0.0511148046199673
## 19 Intercept -97.8924198015939
## 20 Year 0.0511148053247922
## 21
## 22 Adjusted R²
## 23 0.760853845866438
## 23 0.76085382625952
## 24
## 25 Summary of model weights
## 26 Min
## 27 0.335498468663771
## 27 0.335498659302815
## 28 Number of outliers
## 29 0
## 30 _________________ _________________
## 31 Robust regression - Quadratic
## 32 Estimate
## 33 Intercept -3184.16171557813
## 34 Year 3.15003563972423
## 33 Intercept -3184.161696081
## 34 Year 3.15003562026036
## 35
## 36 Adjusted R²
## 37 0.801667174178891
## 37 0.801667178783455
## 38
## 39 Summary of model weights
## 40 Min
## 41 0.177659030983913
## 41 0.177658995466042
## 42 Number of outliers
## 43 0
## 44 _________________ _________________
Expand All @@ -2041,11 +2041,11 @@ summarized.summary
## 56
## 57 Variance model
## 58 Estimate
## 59 Intercept 0.19431371609858
## 60 Intercept 0.0384493576779084
## 59 Intercept 0.167826888719121
## 60 Intercept 0.0440032505755458
## 61
## 62 R² for last iteration
## 63 0.0151450694451187
## 63 0.0204250264018644
## 64 _________________ _________________
## 65 Generalized Additive Models
## 66 Parametric coefficients
Expand Down Expand Up @@ -2085,29 +2085,29 @@ summarized.summary
## 16 _________________ _________________
## 17
## 18 Standard error t value
## 19 9.17596178201959 -10.6683550712198
## 20 0.00461677016147957 11.0715506365139
## 19 9.17596027168126 -10.6683569788013
## 20 0.0046167693979826 11.0715526201347
## 21
## 22 R²
## 23 0.766288985733109
## 23 0.766288966571803
## 24
## 25
## 26 25% 50%
## 27 0.895670374503898 0.956019637206151
## 27 0.895670395872133 0.956019658676999
## 28
## 29
## 30 _________________ _________________
## 31
## 32 Standard error t value
## 33 1363.27363592829 -2.33567321457804
## 34 1.36871457762435 2.30145546136557
## 33 1363.27363218372 -2.33567320669185
## 34 1.36871457385996 2.30145545347473
## 35
## 36 R²
## 37 0.810682302625305
## 37 0.810682307020571
## 38
## 39
## 40 25% 50%
## 41 0.886348169899944 0.959271817570762
## 41 0.886348165575317 0.95927181341021
## 42
## 43
## 44 _________________ _________________
Expand All @@ -2125,8 +2125,8 @@ summarized.summary
## 56
## 57
## 58 Standard error (last iteration) Standard error/coefficient %
## 59 0.184711969664206 95.0586368131095
## 60 0.0472830364390933 122.974840919801
## 59 0.180709553889981 107.676162782485
## 60 0.0464716464086316 105.609576112674
## 61
## 62
## 63
Expand Down Expand Up @@ -2169,29 +2169,29 @@ summarized.summary
## 16 _________________ _________________
## 17
## 18 p-value
## 19 1.16817888851562e-13
## 20 3.59415025068386e-14
## 19 1.16817231573616e-13
## 20 3.59412959452059e-14
## 21
## 22
## 23
## 24
## 25
## 26 75% Max
## 27 0.994641723689848 0.999854195010966
## 27 0.994641726641618 0.999854195268867
## 28
## 29
## 30 _________________ _________________
## 31
## 32 p-value
## 33 0.0243578359132511
## 34 0.0263953055727227
## 33 0.0243578363660933
## 34 0.0263953060596626
## 35
## 36
## 37
## 38
## 39
## 40 75% Max
## 41 0.982954511952929 0.999977209612746
## 41 0.982954511038051 0.999977209638754
## 42
## 43
## 44 _________________ _________________
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