Introduction

Latihan penggunaan RMarkdown ini menggunakan salah satu dataset yang tersedia di R, yaitu swiss.Data swiss merupakan informasi hasil pengukuran fertilitas standar dan indikator sosial ekonomi dari setiap 47 Provinsi yang masyarakatnya berbahasa Perancis pada tahun 1988. Adapun sumber deskripsi data dapat diakses melalui link https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/swiss.html.

Deskripsi Statistik Data

summary(swiss)
##    Fertility      Agriculture     Examination      Education    
##  Min.   :35.00   Min.   : 1.20   Min.   : 3.00   Min.   : 1.00  
##  1st Qu.:64.70   1st Qu.:35.90   1st Qu.:12.00   1st Qu.: 6.00  
##  Median :70.40   Median :54.10   Median :16.00   Median : 8.00  
##  Mean   :70.14   Mean   :50.66   Mean   :16.49   Mean   :10.98  
##  3rd Qu.:78.45   3rd Qu.:67.65   3rd Qu.:22.00   3rd Qu.:12.00  
##  Max.   :92.50   Max.   :89.70   Max.   :37.00   Max.   :53.00  
##     Catholic       Infant.Mortality
##  Min.   :  2.150   Min.   :10.80   
##  1st Qu.:  5.195   1st Qu.:18.15   
##  Median : 15.140   Median :20.00   
##  Mean   : 41.144   Mean   :19.94   
##  3rd Qu.: 93.125   3rd Qu.:21.70   
##  Max.   :100.000   Max.   :26.60
## Including Plots
plot(swiss$Fertility)

plot(swiss$Infant.Mortality)

cor.test(swiss$Fertility,swiss$Infant.Mortality)
## 
##  Pearson's product-moment correlation
## 
## data:  swiss$Fertility and swiss$Infant.Mortality
## t = 3.0737, df = 45, p-value = 0.003585
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.1469699 0.6285366
## sample estimates:
##      cor 
## 0.416556
plot(swiss$Fertility,swiss$Infant.Mortality)

lmswiss=lm(swiss$Infant.Mortality~swiss$Fertility,data = swiss)
summary(lmswiss)
## 
## Call:
## lm(formula = swiss$Infant.Mortality ~ swiss$Fertility, data = swiss)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -7.6038 -1.5673 -0.0607  1.8367  6.0788 
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)     13.12970    2.25063   5.834 5.51e-07 ***
## swiss$Fertility  0.09713    0.03160   3.074  0.00359 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 2.677 on 45 degrees of freedom
## Multiple R-squared:  0.1735, Adjusted R-squared:  0.1552 
## F-statistic: 9.448 on 1 and 45 DF,  p-value: 0.003585

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.

View(swiss) format(swiss) summary(swiss) library(corrplot)

plot(swiss$Fertility)

plot(swiss$Infant.Mortality)

cor.test(swiss$Fertility,swiss$Infant.Mortality)
## 
##  Pearson's product-moment correlation
## 
## data:  swiss$Fertility and swiss$Infant.Mortality
## t = 3.0737, df = 45, p-value = 0.003585
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.1469699 0.6285366
## sample estimates:
##      cor 
## 0.416556