## Year x
## 1 1990 6142353
## 2 1991 6125938
## 3 1992 6110921
## 4 1993 6093350
## 5 1994 6100010
## 6 1995 6167989
## 7 1996 6188074
## 8 1997 6398375
## 9 1998 6295326
## 10 1999 6223787
## 11 2000 6228684
## 12 2001 6218422
## 13 2002 6434575
## 14 2003 6559986
## 15 2004 6758772
## 16 2005 6879679
## 17 2006 7059014
## 18 2007 7111351
## 19 2008 7258378
## 20 2009 7303010
## 21 2010 7461902
| Temperature ~ CO2 |
| Temperature ~ N2O |
| Temperature ~ F_gases |
| Temperature ~ CH4 |
| Temperature ~ CO2 + N2O |
| Temperature ~ CO2 + F_gases |
| Temperature ~ CO2 + N2O + F_gases |
| Temperature ~ CO2 + N2O + F_gases + CH4 |
|
| 2 |
19 |
-9.442 |
-8.030 |
-6.309 |
0.5963 |
0.5750 |
0.0000411 |
0.9858 |
0.9835 |
| 2 |
19 |
-7.568 |
-6.156 |
-4.434 |
0.5586 |
0.5353 |
0.0000987 |
0.9351 |
0.1742 |
| 2 |
19 |
-6.708 |
-5.296 |
-3.574 |
0.5401 |
0.5159 |
0.0001478 |
0.9804 |
0.9303 |
| 2 |
19 |
-4.375 |
-2.964 |
-1.242 |
0.4861 |
0.4590 |
0.0004438 |
0.9848 |
0.9769 |
| 3 |
18 |
-8.062 |
-5.562 |
-3.884 |
0.6080 |
0.5644 |
0.0002186 |
0.9839 |
0.9702 |
| 3 |
18 |
-7.943 |
-5.443 |
-3.764 |
0.6058 |
0.5620 |
0.0002301 |
0.9838 |
0.9688 |
| 4 |
17 |
-6.491 |
-2.491 |
-1.269 |
0.6159 |
0.5481 |
0.0008158 |
0.9859 |
0.9839 |
| 5 |
16 |
-9.965 |
-3.965 |
-3.698 |
0.7041 |
0.6301 |
0.0003903 |
0.9399 |
0.2166 |
|
##
## Call:
## lm(formula = Temperature ~ CO2, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.32862 -0.06965 0.00471 0.11263 0.34637
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -1.117e+00 3.597e-01 -3.107 0.00581 **
## CO2 6.365e-08 1.202e-08 5.297 4.11e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1761 on 19 degrees of freedom
## Multiple R-squared: 0.5963, Adjusted R-squared: 0.575
## F-statistic: 28.06 on 1 and 19 DF, p-value: 4.112e-05
##
## Call:
## lm(formula = Temperature ~ CO2, data = trainingData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.32506 -0.09060 -0.00064 0.09175 0.34638
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -1.164e+00 5.699e-01 -2.043 0.06827 .
## CO2 6.532e-08 1.902e-08 3.435 0.00638 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2116 on 10 degrees of freedom
## Multiple R-squared: 0.5413, Adjusted R-squared: 0.4955
## F-statistic: 11.8 on 1 and 10 DF, p-value: 0.00638
| 1 |
1990 |
0.623 |
0.5374353 |
| 4 |
1993 |
0.345 |
0.5462480 |
| 5 |
1994 |
0.491 |
0.5565039 |
| 10 |
1999 |
0.818 |
0.6686235 |
| 12 |
2001 |
0.836 |
0.7247496 |
| 14 |
2003 |
0.840 |
0.8537591 |
| 15 |
2004 |
0.929 |
0.9487621 |
| 18 |
2007 |
1.161 |
1.0554553 |
| 19 |
2008 |
0.886 |
1.0959302 |
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## A marker object has been specified, but markers is not in the mode
## Adding markers to the mode...
##
## Call:
## lm(formula = Europe_Temperature ~ GDP, data = mlm)
##
## Coefficients:
## (Intercept) GDP
## 1.190218 0.006137
##
## Call:
## lm(formula = Europe_Temperature ~ GDP, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.89675 -0.49538 -0.02853 0.43580 0.96962
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.190218 0.118899 10.010 2.07e-10 ***
## GDP 0.006137 0.012258 0.501 0.621
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.571 on 26 degrees of freedom
## Multiple R-squared: 0.009547, Adjusted R-squared: -0.02855
## F-statistic: 0.2506 on 1 and 26 DF, p-value: 0.6208
##
## Call:
## lm(formula = Africa_Temperature ~ GDP, data = mlm)
##
## Coefficients:
## (Intercept) GDP
## 0.705546 0.003393
##
## Call:
## lm(formula = Africa_Temperature ~ GDP, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.60524 -0.21999 -0.01837 0.19193 0.57115
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.705546 0.064096 11.008 2.77e-11 ***
## GDP 0.003393 0.006096 0.557 0.583
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2821 on 26 degrees of freedom
## Multiple R-squared: 0.01178, Adjusted R-squared: -0.02623
## F-statistic: 0.3098 on 1 and 26 DF, p-value: 0.5825
##
## Call:
## lm(formula = Asia_Temperature ~ GDP, data = mlm)
##
## Coefficients:
## (Intercept) GDP
## 0.929668 -0.008576
##
## Call:
## lm(formula = Asia_Temperature ~ GDP, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.84420 -0.21587 0.07882 0.30172 0.61172
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.929668 0.101278 9.179 1.22e-09 ***
## GDP -0.008576 0.010683 -0.803 0.429
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3829 on 26 degrees of freedom
## Multiple R-squared: 0.02418, Adjusted R-squared: -0.01335
## F-statistic: 0.6444 on 1 and 26 DF, p-value: 0.4294
##
## Call:
## lm(formula = ANZ_Temperature ~ GDP, data = mlm)
##
## Coefficients:
## (Intercept) GDP
## 0.6840 -0.0028
##
## Call:
## lm(formula = ANZ_Temperature ~ GDP, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.52044 -0.26528 -0.00292 0.28096 0.70779
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.683962 0.075129 9.104 1.44e-09 ***
## GDP -0.002800 0.006124 -0.457 0.651
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3471 on 26 degrees of freedom
## Multiple R-squared: 0.007972, Adjusted R-squared: -0.03018
## F-statistic: 0.2089 on 1 and 26 DF, p-value: 0.6514
##
## Call:
## lm(formula = NAmerica_Temperature ~ GDP, data = mlm)
##
## Coefficients:
## (Intercept) GDP
## 0.82908 0.02327
##
## Call:
## lm(formula = NAmerica_Temperature ~ GDP, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.00032 -0.45766 -0.03203 0.29434 1.38948
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.82908 0.27578 3.006 0.0058 **
## GDP 0.02327 0.05613 0.415 0.6819
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.591 on 26 degrees of freedom
## Multiple R-squared: 0.006566, Adjusted R-squared: -0.03164
## F-statistic: 0.1718 on 1 and 26 DF, p-value: 0.6819
##
## Call:
## lm(formula = SAmerica_Temperature ~ GDP, data = mlm)
##
## Coefficients:
## (Intercept) GDP
## 0.748334 -0.003745
##
## Call:
## lm(formula = SAmerica_Temperature ~ GDP, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.41712 -0.16143 0.01683 0.16298 0.50085
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.748334 0.054934 13.622 2.4e-13 ***
## GDP -0.003745 0.003520 -1.064 0.297
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2542 on 26 degrees of freedom
## Multiple R-squared: 0.04172, Adjusted R-squared: 0.004862
## F-statistic: 1.132 on 1 and 26 DF, p-value: 0.2972
##
## Call:
## lm(formula = Caribbean_Temperature ~ GDP, data = mlm)
##
## Coefficients:
## (Intercept) GDP
## 0.719047 0.006946
##
## Call:
## lm(formula = Caribbean_Temperature ~ GDP, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.61252 -0.11435 0.02457 0.16378 0.48429
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.719047 0.077656 9.259 1.03e-09 ***
## GDP 0.006946 0.011751 0.591 0.56
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2551 on 26 degrees of freedom
## Multiple R-squared: 0.01326, Adjusted R-squared: -0.02469
## F-statistic: 0.3494 on 1 and 26 DF, p-value: 0.5596
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## A marker object has been specified, but markers is not in the mode
## Adding markers to the mode...
##
## Call:
## lm(formula = Europe_Temperature ~ rate, data = mlm)
##
## Coefficients:
## (Intercept) rate
## 1.21412 0.01148
##
## Call:
## lm(formula = Europe_Temperature ~ rate, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.81749 -0.44456 0.00225 0.40176 1.03444
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.214120 0.112313 10.810 1.72e-10 ***
## rate 0.011478 0.009133 1.257 0.221
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5615 on 23 degrees of freedom
## Multiple R-squared: 0.06425, Adjusted R-squared: 0.02357
## F-statistic: 1.579 on 1 and 23 DF, p-value: 0.2215
##
## Call:
## lm(formula = Africa_Temperature ~ rate, data = mlm)
##
## Coefficients:
## (Intercept) rate
## 0.732876 0.001645
##
## Call:
## lm(formula = Africa_Temperature ~ rate, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.62119 -0.14884 0.00769 0.19203 0.57387
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.732876 0.059039 12.413 1.12e-11 ***
## rate 0.001645 0.004930 0.334 0.742
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2792 on 23 degrees of freedom
## Multiple R-squared: 0.004816, Adjusted R-squared: -0.03845
## F-statistic: 0.1113 on 1 and 23 DF, p-value: 0.7417
##
## Call:
## lm(formula = Asia_Temperature ~ rate, data = mlm)
##
## Coefficients:
## (Intercept) rate
## 0.92877 -0.00738
##
## Call:
## lm(formula = Asia_Temperature ~ rate, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.88491 -0.17557 0.06596 0.19423 0.53564
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.928772 0.089245 10.407 3.58e-10 ***
## rate -0.007380 0.007213 -1.023 0.317
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3685 on 23 degrees of freedom
## Multiple R-squared: 0.04354, Adjusted R-squared: 0.001954
## F-statistic: 1.047 on 1 and 23 DF, p-value: 0.3168
##
## Call:
## lm(formula = NAmerica_Temperature ~ rate, data = mlm)
##
## Coefficients:
## (Intercept) rate
## 0.972340 -0.004414
##
## Call:
## lm(formula = NAmerica_Temperature ~ rate, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.94941 -0.43705 0.03825 0.28750 1.26958
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.972340 0.129938 7.483 1.32e-07 ***
## rate -0.004414 0.014012 -0.315 0.756
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.6039 on 23 degrees of freedom
## Multiple R-squared: 0.004296, Adjusted R-squared: -0.039
## F-statistic: 0.09924 on 1 and 23 DF, p-value: 0.7556
##
## Call:
## lm(formula = SAmericaTemperature ~ rate, data = mlm)
##
## Coefficients:
## (Intercept) rate
## 0.750060 -0.003956
##
## Call:
## lm(formula = SAmericaTemperature ~ rate, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.41305 -0.08409 0.02422 0.14524 0.38541
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.750060 0.051542 14.553 4.31e-13 ***
## rate -0.003956 0.003204 -1.235 0.229
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2344 on 23 degrees of freedom
## Multiple R-squared: 0.06217, Adjusted R-squared: 0.0214
## F-statistic: 1.525 on 1 and 23 DF, p-value: 0.2294
##
## Call:
## lm(formula = Caribbean_Temperature ~ rate, data = mlm)
##
## Coefficients:
## (Intercept) rate
## 0.739600 0.003939
##
## Call:
## lm(formula = Caribbean_Temperature ~ rate, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.59075 -0.17952 0.01153 0.16523 0.48995
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.739600 0.054121 13.666 1.58e-12 ***
## rate 0.003939 0.005703 0.691 0.497
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2662 on 23 degrees of freedom
## Multiple R-squared: 0.02032, Adjusted R-squared: -0.02228
## F-statistic: 0.477 on 1 and 23 DF, p-value: 0.4967
##
## Call:
## lm(formula = ANZ_Temperature ~ rate, data = mlm)
##
## Coefficients:
## (Intercept) rate
## 0.686756 -0.008587
##
## Call:
## lm(formula = ANZ_Temperature ~ rate, data = mlm)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.54988 -0.22639 -0.00482 0.19119 0.62411
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.686756 0.070444 9.749 1.23e-09 ***
## rate -0.008587 0.005135 -1.672 0.108
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3358 on 23 degrees of freedom
## Multiple R-squared: 0.1084, Adjusted R-squared: 0.06965
## F-statistic: 2.797 on 1 and 23 DF, p-value: 0.108
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## Year x
## 1 1991 39946.36
## 2 1992 39126.46
## 3 1993 44231.19
## 4 1994 70211.28
## 5 1995 75305.14
## 6 1996 71316.84
## 7 1997 73969.86
## 8 1998 73999.95
## 9 1999 56073.11
## 10 2000 63001.29
## 11 2001 55487.59
## 12 2002 52735.43
## 13 2003 67232.66
## 14 2004 82608.42
## 15 2005 95466.87
## 16 2006 106067.83
## 17 2007 150298.27
## 18 2008 194077.44
## 19 2009 176202.89
## 20 2010 221436.85
## 21 2011 288438.95
## 22 2012 276918.13
## 23 2013 294920.13
## 24 2014 302396.55
## 25 2015 230823.55
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## p value r
## Indonesia (0.8 S) 0.02493179 -0.45652701
## China (35.6 N) 0.05552762 -0.39583735
## Mexico (23.6 N) 0.08964636 -0.35402859
## Argentina (38.4 S) 0.20538756 -0.26804032
## Cambodia(12.6 N) 0.21749513 -0.26127624
## Thailand (15.9N) 0.30563920 -0.21822353
## Brazil (14.2 S) 0.37933999 -0.18787196
## Canada (56.1N) 0.39804549 -0.18072966
## Egypt (26.8 N) 0.40567948 -0.17786913
## Madagascar (18.8 S) 0.61163499 -0.10915889
## U.S (37.1 N) 0.76357826 -0.06479184
## Turkey (39.0 N) 0.95785305 -0.01139557
## Iran (32.4 N) 0.64958793 0.09773559
## Jamaica (18.1 N) 0.63566742 0.10189401
## DR (18.7 N) 0.58502285 0.11734246
## Qatar(25.4 N) 0.58038260 0.11878552
## France (46.2 N) 0.53070805 0.13457030
## Congo (4.0 S) 0.49152303 0.14751849
## Japan (36.2 N) 0.42899203 0.16931323
## Norway (60.5 N) 0.33542647 0.20548119
## India (20.6 N) 0.32725588 0.20890567
## Ethiopia (9.1 N) 0.21993753 0.25994256
## Russia (61.5 N) 0.14641722 0.31260877
## Ireland(53.1N) 0.12025150 0.32581909
| Indonesia |
-0.46 |
0.8S |
| China |
-0.40 |
35.6N |
| Argentina |
-0.27 |
38.4S |
| Cambodia |
-0.26 |
12.6N |
| Thailand |
-0.22 |
15.9N |
| Brazil |
-0.19 |
14.2S |
| Iran |
0.10 |
32.4N |
| Japan |
0.17 |
36.2N |
| India |
0.21 |
20.6N |
## Country r
## 1 Indonesia -0.46
## 2 Cambodia -0.26
## 3 Madagascar -0.11
## 4 Jamaica 0.10
## 5 Dominican Republic 0.12
## 6 Congo 0.15
## 7 Ethiopia 0.26
## 8 Mali 0.32
##
## One Sample t-test
##
## data: r
## t = 0.15774, df = 7, p-value = 0.8791
## alternative hypothesis: true mean is not equal to 0
## 95 percent confidence interval:
## -0.2098614 0.2398614
## sample estimates:
## mean of x
## 0.015
## Country r
## 1 China -0.40
## 2 Canada -0.18
## 3 U.S -0.06
## 4 Norway 0.21
## 5 Russia 0.31
## 6 Ireland 0.33
## 7 Japan 0.17
## 8 Argentina -0.27
##
## One Sample t-test
##
## data: r
## t = 0.13933, df = 7, p-value = 0.8931
## alternative hypothesis: true mean is not equal to 0
## 95 percent confidence interval:
## -0.2196069 0.2471069
## sample estimates:
## mean of x
## 0.01375
## Country r
## 1 China -0.40
## 2 Argentina -0.27
## 3 U.S -0.06
## 4 Brazil -0.19
## 5 Indonesia -0.46
## 6 Mexico -0.35
##
## One Sample t-test
##
## data: r
## t = -4.8082, df = 5, p-value = 0.004849
## alternative hypothesis: true mean is not equal to 0
## 95 percent confidence interval:
## -0.4424849 -0.1341818
## sample estimates:
## mean of x
## -0.2883333