Cancer - Vit D

ENS

SCATTER PLOT WITH LINEAR REGRESSION: INCIDENCE - MEAN VIT D

CRUDE

PROVINCIA

## `geom_smooth()` using formula = 'y ~ x'

## `geom_smooth()` using formula = 'y ~ x'

## `geom_smooth()` using formula = 'y ~ x'

REGION

## `geom_smooth()` using formula = 'y ~ x'

## `geom_smooth()` using formula = 'y ~ x'

## `geom_smooth()` using formula = 'y ~ x'

STDANDARD

PROVINCIA

## `geom_smooth()` using formula = 'y ~ x'

## `geom_smooth()` using formula = 'y ~ x'

## `geom_smooth()` using formula = 'y ~ x'

REGION

## `geom_smooth()` using formula = 'y ~ x'

## `geom_smooth()` using formula = 'y ~ x'

## `geom_smooth()` using formula = 'y ~ x'

CORRELATIONS: CRUDE INCIDENCE - MEAN VIT D

CRUDE

PROVINCIA

## [1] "Provincia n_30_Crude_Pearson"

## [1] "Provincia_Crude_Pearson"

## [1] "Provincia n_30_Crude_Spearman"

## [1] "Provincia_Crude_Spearman"

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REGION

## [1] "NA_Crude_Pearson"

## [1] "Region_Crude_Pearson"

## [1] "NA_Crude_Spearman"

## [1] "Region_Crude_Spearman"

## [[1]]

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STANDARD

PROVINCIA

## [1] "Provincia n_30_Standard_Pearson"

## [1] "Provincia_Standard_Pearson"

## [1] "Provincia n_30_Standard_Spearman"

## [1] "Provincia_Standard_Spearman"

## [[1]]

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REGION

## [1] "NA_Standard_Pearson"

## [1] "Region_Standard_Pearson"

## [1] "NA_Standard_Spearman"

## [1] "Region_Standard_Spearman"

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MODELS

CRUDE

PROVINCIA

## Saving 12 x 8 in image
## Saving 12 x 8 in image

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REGION

## Saving 12 x 8 in image

## [[1]]

STANDARD

PROVINCIA

## Saving 12 x 8 in image
## Saving 12 x 8 in image

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REGION

## Saving 12 x 8 in image

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