Bivariate correlations
After describing the variables in your dataset, the next step is to begin exploring the relationships between these variables. Bivariate association using Pearson's correlation is one way to assess these relationships.
In this exercise, you will use the corr.test() function from the psych package to compute Pearson's correlations between the abalone age and their four weight measurements and between abalone age and the three dimensional measurements.
The abaloneKeep dataset, dplyr and psych packages have been loaded for you.
This exercise is part of the course
R For SAS Users
Exercise instructions
- Get correlations between age, whole weight, shucked weight, shell weight, and viscera weight with the
psych::corr.test()function for theabaloneKeepdataset. - Get correlations between age, length, diameter, and height with the
psych::corr.test()function.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Get correlations age and weights with corr.test()
___ %>%
___ %>%
___
# Get correlations age and dimensions with corr.test()
___ %>%
___ %>%
___