## [1] "English_United States.1252"

This is an R Markdown document and the knitr package. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.
The main pourpose of this document is to exercise the Literate Statistical Programming concept learned on the COURSERA - Reproducible Research Course.

Objectives:

External resources:

Remember to visit R Bloggers and Simply Statistics.

library(datasets)
data(iris)
summary(iris)
##   Sepal.Length    Sepal.Width     Petal.Length    Petal.Width   
##  Min.   :4.300   Min.   :2.000   Min.   :1.000   Min.   :0.100  
##  1st Qu.:5.100   1st Qu.:2.800   1st Qu.:1.600   1st Qu.:0.300  
##  Median :5.800   Median :3.000   Median :4.350   Median :1.300  
##  Mean   :5.843   Mean   :3.057   Mean   :3.758   Mean   :1.199  
##  3rd Qu.:6.400   3rd Qu.:3.300   3rd Qu.:5.100   3rd Qu.:1.800  
##  Max.   :7.900   Max.   :4.400   Max.   :6.900   Max.   :2.500  
##        Species  
##  setosa    :50  
##  versicolor:50  
##  virginica :50  
##                 
##                 
## 

Let’s first make a pairs plot of the data.

pairs(iris)

We did an example of regression model.

## 
## Call:
## lm(formula = Sepal.Length ~ Sepal.Width + Petal.Length + Petal.Width, 
##     data = iris)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -0.82816 -0.21989  0.01875  0.19709  0.84570 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)    
## (Intercept)   1.85600    0.25078   7.401 9.85e-12 ***
## Sepal.Width   0.65084    0.06665   9.765  < 2e-16 ***
## Petal.Length  0.70913    0.05672  12.502  < 2e-16 ***
## Petal.Width  -0.55648    0.12755  -4.363 2.41e-05 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3145 on 146 degrees of freedom
## Multiple R-squared:  0.8586, Adjusted R-squared:  0.8557 
## F-statistic: 295.5 on 3 and 146 DF,  p-value: < 2.2e-16
library(xtable)
xt <- xtable(summary(fit))
print(xt, type = "html")
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.8560 0.2508 7.40 0.0000
Sepal.Width 0.6508 0.0666 9.77 0.0000
Petal.Length 0.7091 0.0567 12.50 0.0000
Petal.Width -0.5565 0.1275 -4.36 0.0000
Sys.setlocale("LC_TIME","English")
## [1] "English_United States.1252"
time <- format(Sys.time(), "%F %T %Z")
tz   <- Sys.timezone()

All content generated in 2015-03-14 14:29:17 BRT in America/Sao_Paulo.