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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
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
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?
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
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
Dynamic factor models with time-varying loadings in python I'm trying to model dynamic factor model with time-varying loadings in python, specifically, a TVP-FAVAR model in python I've looked at the statsmodels statspace sm tsa DynamicFactor or sm tsa