PRUEBA DE NORMALIDAD

library(wooldridge)
## Warning: package 'wooldridge' was built under R version 4.0.5
data(hprice1)
head(force(hprice1),n=5) #se muestran primeras 5 observaciones
##   price assess bdrms lotsize sqrft colonial   lprice  lassess llotsize   lsqrft
## 1   300  349.1     4    6126  2438        1 5.703783 5.855359 8.720297 7.798934
## 2   370  351.5     3    9903  2076        1 5.913503 5.862210 9.200593 7.638198
## 3   191  217.7     3    5200  1374        0 5.252274 5.383118 8.556414 7.225482
## 4   195  231.8     3    4600  1448        1 5.273000 5.445875 8.433811 7.277938
## 5   373  319.1     4    6095  2514        1 5.921578 5.765504 8.715224 7.829630

1 ESTIMACION DEL MODELO

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
price<-lm(price~lotsize+sqrft+bdrms,data = hprice1)
stargazer(price,title = "modelo estimado")
## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: sáb., may. 29, 2021 - 11:18:53 p. m.
## \begin{table}[!htbp] \centering 
##   \caption{modelo estimado} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  & \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] & price \\ 
## \hline \\[-1.8ex] 
##  lotsize & 0.002$^{***}$ \\ 
##   & (0.001) \\ 
##   & \\ 
##  sqrft & 0.123$^{***}$ \\ 
##   & (0.013) \\ 
##   & \\ 
##  bdrms & 13.853 \\ 
##   & (9.010) \\ 
##   & \\ 
##  Constant & $-$21.770 \\ 
##   & (29.475) \\ 
##   & \\ 
## \hline \\[-1.8ex] 
## Observations & 88 \\ 
## R$^{2}$ & 0.672 \\ 
## Adjusted R$^{2}$ & 0.661 \\ 
## Residual Std. Error & 59.833 (df = 84) \\ 
## F Statistic & 57.460$^{***}$ (df = 3; 84) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  & \multicolumn{1}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
## \end{tabular} 
## \end{table}

##2VERIFIQUE EL SUPUESTO DE NOMRALIDAD , A TRAVES DE: 1 PRUEBA JB

library(normtest) #Carga los comandos para las pruebas de normalidad
jb.norm.test(hprice1) #Ejecuta la prueba de Jarque -Bera
## 
##  Jarque-Bera test for normality
## 
## data:  hprice1
## JB = 3.7405, p-value = 0.0305

##2 PRUEBA KS

library(nortest) #Carga los comandos para las pruebas de normalidad
lillie.test(hprice1$price) #Ejecuta la prueba KS, con la corrección de Lilliefors
## 
##  Lilliefors (Kolmogorov-Smirnov) normality test
## 
## data:  hprice1$price
## D = 0.14748, p-value = 6.538e-05

##3 PRUEBA SW

library(fastGraph)
## Warning: package 'fastGraph' was built under R version 4.0.5
shapiro.test(hprice1$price)
## 
##  Shapiro-Wilk normality test
## 
## data:  hprice1$price
## W = 0.82417, p-value = 7.6e-09
shadeDist()