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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
- 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
- r - list all factor levels of a data. frame - Stack Overflow
with dplyr::glimpse(data) I get more values, but no infos about number values of factor-levels Is there an automatic way to get all level informations of all factor vars in a data frame?
- What is the significance of load factor in HashMap?
A load factor=1 hashmap with number of entries=capacity will statistically have significant amount of collisions (=when multiple keys are producing the same hash) When collision occurs the lookup time increases, as in one bucket there will be >1 matching entries, for which the key must be individually checked for equality
- How can I customize the tab-to-space conversion factor in VS Code?
How do I customize the tab-to-space conversion factor when using Visual Studio Code? For instance, right now in HTML it appears to produce two spaces per press of TAB, but in TypeScript it produces 4
- Convert existing dataframe variable to factor in Tidyverse
When you have an existing character variable in a dataframe, is there an easy method for converting that variable to a factor using the tidyverse format? For example, the 2nd line of code below won't reorder the factor levels, but the last line will
- 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
- r - ggplot2: Reorder items in a legend - Stack Overflow
(2) I cannot find a question about ordering (of axis or legend elements) in ggplot2 that is not completely resolved by the use of factor( , levels=) When you define the factor and specify the ordering of said factors using levels=, then ggplot2 tends to honor that specification
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