Number of storms, hurricanes and El Nino effects from 1950 through 1995

Source: R/BSDA-package.R

Data for Exercises 1.38, 10.19, and Example 1.6

Hurrican

Format

A data frame/tibble with 46 observations on four variables

year

a numeric vector indicating year

storms

a numeric vector recording number of storms

hurrican

a numeric vector recording number of hurricanes

elnino

a factor with levels cold, neutral, and warm

Source

National Hurricane Center.

References

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

Examples


T1 <- xtabs(~hurrican, data = Hurrican)
T1
#> hurrican
#>  2  3  4  5  6  7  8  9 10 11 12 
#>  1  7  9  6  7  7  4  2  1  1  1 
barplot(T1, col = "blue", main = "Problem 1.38",
        xlab = "Number of hurricanes", 
        ylab = "Number of seasons")

boxplot(storms ~ elnino, data = Hurrican, 
        col = c("blue", "yellow", "red"))

anova(lm(storms ~ elnino, data = Hurrican))
#> Analysis of Variance Table
#> 
#> Response: storms
#>           Df Sum Sq Mean Sq F value   Pr(>F)   
#> elnino     2  113.7  56.852  7.6299 0.001459 **
#> Residuals 43  320.4   7.451                    
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
rm(T1)