library(rio)
## Warning: package 'rio' was built under R version 4.0.5
data = import("desigualdad.xlsx")
data$DesigualdadGenero = data$DesigualdadGenero * 100
data$DesempleoMuj = (data$DesempleoMuj - 0.4)* 100/2
names(data)
## [1] "Pais" "DesigualdadGenero" "MLAutonomia"
## [4] "MLViolencia" "VozPolitica" "LibertadMov"
## [7] "DesconfianzaSJ" "SecundariaC" "DesempleoMuj"
## [10] "CuentaF"
library(ggplot2)
## Warning: package 'ggplot2' was built under R version 4.0.5
base=ggplot(data=data, aes(x=DesempleoMuj, y=DesigualdadGenero)) + geom_point()
base

library(scatterplot3d)
scatterplot3d(data[,c('DesempleoMuj','DesigualdadGenero','DesconfianzaSJ')])

base1=ggplot(data=data, aes(x=DesempleoMuj, y=DesigualdadGenero)) + geom_point(aes(color = DesconfianzaSJ))
base1

base2=ggplot(data=data, aes(x=DesempleoMuj, y=DesigualdadGenero)) + geom_point() + geom_smooth(method=lm)
base2
## `geom_smooth()` using formula 'y ~ x'

modelo2=formula(DesempleoMuj ~ DesigualdadGenero + DesconfianzaSJ)
reg2=lm(modelo2,data=data)
G = scatterplot3d(data[,c('DesempleoMuj','DesigualdadGenero','DesconfianzaSJ')])
G$plane3d(reg2, draw_polygon = TRUE, draw_lines = FALSE)

library(stargazer)
##
## Please cite as:
## Hlavac, Marek (2018). stargazer: Well-Formatted Regression and Summary Statistics Tables.
## R package version 5.2.2. https://CRAN.R-project.org/package=stargazer
stargazer(reg2, type = "text" ,intercept.bottom = FALSE)
##
## ===============================================
## Dependent variable:
## ---------------------------
## DesempleoMuj
## -----------------------------------------------
## Constant 32.067***
## (12.216)
##
## DesigualdadGenero 0.341***
## (0.085)
##
## DesconfianzaSJ -0.040
## (0.216)
##
## -----------------------------------------------
## Observations 121
## R2 0.126
## Adjusted R2 0.111
## Residual Std. Error 18.476 (df = 118)
## F Statistic 8.469*** (df = 2; 118)
## ===============================================
## Note: *p<0.1; **p<0.05; ***p<0.01