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Remove misleading example of NA in Levels section
The levels section was using a level "NA" together with "female" and "male", which is misleading (given that NA was just introduced as a missing value). I updated it to what I believe is a better example of how NAs are interpreted. Additionally, I edited a comment about Inf that wouldn't compile. How about inserting it at the tutorial altogether?
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@ -179,7 +179,7 @@ c(3,3,3,2,2,1) # 3 3 3 2 2 1
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# You can also have infinitely large or small numbers
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class(Inf) # "numeric"
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class(-Inf) # "numeric"
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# You might use "Inf", for example, in integrate( dnorm(x), 3, Inf);
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# You might use "Inf", for example, in integrate(dnorm, 3, Inf);
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# this obviates Z-score tables.
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# BASIC ARITHMETIC
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@ -236,11 +236,12 @@ c('Z', 'o', 'r', 'r', 'o') == "Z" # TRUE FALSE FALSE FALSE FALSE
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# FACTORS
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# The factor class is for categorical data
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# Factors can be ordered (like childrens' grade levels) or unordered (like gender)
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factor(c("female", "female", "male", "NA", "female"))
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# female female male NA female
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# Levels: female male NA
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factor(c("female", "female", "male", NA, "female"))
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# female female male <NA> female
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# Levels: female male
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# The "levels" are the values the categorical data can take
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levels(factor(c("male", "male", "female", "NA", "female"))) # "female" "male" "NA"
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# Note that missing data does not enter the levels
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levels(factor(c("male", "male", "female", NA, "female"))) # "female" "male"
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# If a factor vector has length 1, its levels will have length 1, too
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length(factor("male")) # 1
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length(levels(factor("male"))) # 1
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