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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
java - What is the optimal capacity and load factor for a fixed-size . . . These settings are the load factor, and an initial capacity that is expressed as a factor of the collection setting For example, a test with a collection size of 100 and an initial capacity factor of 1 25 will initialize a hash map with an initial capacity of 125 The value for each key is simply a new Object
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
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?
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
when to use factor () when plotting with ggplot in R? Is the general rule to use factor when the variable being used to determine the shape size colour is discrete, and not continuous? Or is there another use of factor in this context? It seems like the first command can be made like the second with the right legend, even without factor thanks edit: I get this when I use the colour=gear:
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
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