Exploring the swiss data set
Introduction:
We presented an interactive app to explore the swiss data set (this data set is provided by default by R).
The app was designed using shiny http://shiny.rstudio.com/
The app was can be found at http://hong.shinyapps.io/Explore/
Characteristics of the app
Data set
This data set contains 6 variables or features:
names(swiss)
## [1] "Fertility" "Agriculture" "Examination"
## [4] "Education" "Catholic" "Infant.Mortality"
And all variables are numerical:
head(swiss,3)
## Fertility Agriculture Examination Education Catholic
## Courtelary 80.2 17.0 15 12 9.96
## Delemont 83.1 45.1 6 9 84.84
## Franches-Mnt 92.5 39.7 5 5 93.40
## Infant.Mortality
## Courtelary 22.2
## Delemont 22.2
## Franches-Mnt 20.2
Characteristics of the app
Creating linear models between user selected variables
## Error in eval(expr, envir, enclos): could not find function "textxy"
Characteristics of the app
Creating polynomial fits of the linear model residuals
Characteristics of the app
Displaying a summary of the fitted linear model
##
## Call:
## lm(formula = swiss[, var2] ~ swiss[, var1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -11.4895 -5.3618 -0.9056 4.0360 24.0653
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 46.81788 6.11244 7.659 1.08e-09 ***
## swiss[, var1] -0.51095 0.08582 -5.954 3.66e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 7.271 on 45 degrees of freedom
## Multiple R-squared: 0.4406, Adjusted R-squared: 0.4282
## F-statistic: 35.45 on 1 and 45 DF, p-value: 3.659e-07