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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
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
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 - summarizing counts of a factor with dplyr - Stack Overflow I want to group a data frame by a column (owner) and output a new data frame that has counts of each type of a factor at each observation The real data frame is fairly large, and there are 10 diff
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
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
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
when to use factor () when plotting with ggplot in R? ggplot(mtcars) + geom_point(aes(x=mpg, y=drat, colour=factor(gear))) 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