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year In an similar fashion, once you know the total number of baptisms for boys and girls in 1 6 2 9 , you can

year
In an similar fashion, once you know the total number of baptisms for boys and girls in 1629, you can compute the ratio of the number of boys to the number of girls baptized with the following code:
5218/4683
Alternatively, you could calculate this ratio for every year by acting on the complete boys and girls columns, and then save thos calulations into a new variable named boy_t_girl_ratio :
You can also compute the proportion of newborns that are boys in 1629 with the following code:
Or you can compute this for all years simultaneously and add it as a new variable named boy_rat io to the dataset:Notice that rather than dividing by boys + girls we are using the total variable we created earlier in our calculations!Now, generate a plot of the proportion of boys born over time. What do you see?
Tip: If you use the up and down arrow keys in the console, you can scroll through your previous commands, your so-called command history. You can also access your command history by clicking on the history tab in the upper right panel: This can save you a lot of typing in the future.
Finally, in addition to simple mathematical operators like subtraction and division, you can ask R to make comparisons like greater than, >, less than, , and equality, ==. For example, we can create a new variable called more_boys that tells us whether the number of births of boys outnumbered that of girls in each year with the following code:
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