Last updated: 2020-05-22

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It is well-known that small dog breeds live longer than larger-sized breeds. Here we verify this using data from the paper, “Single-nucleotide- polymorphism-based association mapping of dog stereotypes,” Jones et al, Genetics, 2008.

The ggplot2 and cowplot packages are used to create the scatterplot below.

library(ggplot2)
library(cowplot)

Import data

Read the height, weight and age-of-death (AOD) data for different dog breeds. These data accompany Jones et al, 2008.

dogs <- read.csv("../data/dogs.csv",stringsAsFactors = FALSE)

Find “best-fit” line

Find the line that best predicts AOD given body weight (in pounds).

fit <- lm(AOD ~ weight,dogs)
b   <- coef(fit)

Plot AOD vs. body weight

Plot age-of-death vs. body weight, and the best-fit line (this is the dashed blue line). Compare with Fig. 4 of Jones et al (2008).

ggplot(dogs,aes(x = weight,y = AOD)) +
  geom_point(color = "black") +
  geom_abline(intercept = b["(Intercept)"],slope = b["weight"],
              color = "darkorange",linetype = "dashed") +
  theme_cowplot()

Version Author Date
cdc0b7f Peter Carbonetto 2020-05-22 

sessionInfo()
# R version 3.6.2 (2019-12-12)
# Platform: x86_64-apple-darwin15.6.0 (64-bit)
# Running under: macOS Catalina 10.15.4
# 
# Matrix products: default
# BLAS:   /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib
# LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib
# 
# locale:
# [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
# 
# attached base packages:
# [1] stats     graphics  grDevices utils     datasets  methods   base     
# 
# other attached packages:
# [1] cowplot_1.0.0 ggplot2_3.3.0
# 
# loaded via a namespace (and not attached):
#  [1] Rcpp_1.0.3       compiler_3.6.2   pillar_1.4.3     later_1.0.0     
#  [5] git2r_0.26.1     workflowr_1.6.2  tools_3.6.2      digest_0.6.23   
#  [9] evaluate_0.14    lifecycle_0.1.0  tibble_2.1.3     gtable_0.3.0    
# [13] pkgconfig_2.0.3  rlang_0.4.5      yaml_2.2.0       xfun_0.11       
# [17] withr_2.1.2      stringr_1.4.0    dplyr_0.8.3      knitr_1.26      
# [21] fs_1.3.1         rprojroot_1.3-2  grid_3.6.2       tidyselect_0.2.5
# [25] glue_1.3.1       R6_2.4.1         rmarkdown_2.0    farver_2.0.1    
# [29] purrr_0.3.3      magrittr_1.5     whisker_0.4      backports_1.1.5 
# [33] scales_1.1.0     promises_1.1.0   htmltools_0.4.0  assertthat_0.2.1
# [37] colorspace_1.4-1 httpuv_1.5.2     labeling_0.3     stringi_1.4.3   
# [41] munsell_0.5.0    crayon_1.3.4