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- Why use as. factor () instead of just factor () - Stack Overflow
‘factor(x, exclude = NULL)’ applied to a factor without ‘NA’s is a no-operation unless there are unused levels: in that case, a factor with the reduced level set is returned ‘as factor’ coerces its argument to a factor It is an abbreviated (sometimes faster) form of ‘factor’ Performance: as factor > factor when input is a factor The word "no-operation" is a bit ambiguous
- Convert data. frame column format from character to factor
The complete conversion of every character variable to factor usually happens when reading in data, e g , with stringsAsFactors = TRUE, but this is useful when say, you've read data in with read_excel() from the readxl package and want to train a random forest model that doesn't accept character variables
- When to use as. numeric and as. factor in R - Stack Overflow
Factors (with as factor) are variables that have discrete values, which may or may not be ordered In other areas of science outside R they're often called categorical values For example North South East and West could be factors Numerics (with as numeric) are numbers, with infinite other numbers between them So for example 5 is a number, as is 6, but so are 5 01, 5 001, 5 0001 etc To
- r - Re-ordering factor levels in data frame - Stack Overflow
Re-ordering factor levels in data frame [duplicate] Asked 12 years, 3 months ago Modified 4 years, 3 months ago Viewed 256k times
- Newest factor-lang Questions - Stack Overflow
[factor-lang] From the Factor wiki: Factor is an experiment to build a modern, useful concatenative language with strong abstraction capabilities and good support for interactive development To get started the Factor compiler can be found at http: factorcode org
- r - How to convert a factor to integer\numeric without loss of . . .
See the Warning section of ?factor: In particular, as numeric applied to a factor is meaningless, and may happen by implicit coercion To transform a factor f to approximately its original numeric values, as numeric(levels(f))[f] is recommended and slightly more efficient than as numeric(as character(f)) The FAQ on R has similar advice
- Convert all data frame character columns to factors
Given a (pre-existing) data frame that has columns of various types, what is the simplest way to convert all its character columns to factors, without affecting any columns of other types? Here's an
- How to count how many values per level in a given factor?
How to count how many values per level in a given factor? Asked 11 years, 2 months ago Modified 3 years, 9 months ago Viewed 230k times
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