**difference between NA and NaN in R R-bloggers**

As from R 2.5.0 there are constants NA_integer_, NA_real_, NA_complex_ and NA_ character_ which will generate (in the parser) an NA value of the appropriate type, and will be used in deparsing when it is not otherwise possible to identify the type of an NA (and the control options ask for this to be done). There is no NA value for raw vectors.... A key difference between R and many other languages is a topic known as vectorization. When you wrote the the loop is hidden from you in C. Learning to use vectorized operations is a key skill in R. For example, to add pairs of numbers contained in two vectors. a <-1: 10 b <-1: 10. You could loop over the pairs adding each in turn, but that would be very inefficient in R. Instead of using

**Comparing data frames cookbook-r.com**

Jeffrey Ryan is the creator of xts and quantmod, as well as a multitude of other packages for R and finance. He is an original organizer of the annual R in Finance conference in Chicago, and currently works in the hedge fund space in Chicago. Time series are all around us, from server logs to high... Details. Each of union, intersect, setdiff and setequal will discard any duplicated values in the arguments, and they apply as.vector to their arguments (and so in particular coerce factors to character vectors).

**How to use Covariates to Improve your MaxDiff Model R**

aggregate.zoo 3 Arguments x an object of class "zoo". by index vector of the same length as index(x) which deﬁnes aggregation groups and the new index to be associated with each group. how to change font size on facebook on ipad The ave function in R is one of those little helper function I feel I should be using more. Investigating its source code showed me another twist about R and the “[” function. But first let’s look at ave. The top of ave‘s help page reads: Group Averages Over Level Combinations of Factors

**Importing Data in R faculty.washington.edu**

In R you use the merge() function to combine data frames. This powerful function tries to identify columns or rows that are common between the two different data frames. This powerful function tries to identify columns or rows that are common between the two different data frames. how to add eggs to egglocke desmume Jeffrey Ryan is the creator of xts and quantmod, as well as a multitude of other packages for R and finance. He is an original organizer of the annual R in Finance conference in Chicago, and currently works in the hedge fund space in Chicago. Time series are all around us, from server logs to high

## How long can it take?

### R Range of Values ETH Z

- R Set Operations ETH Zurich
- R Sum of Vector Elements ETH Z
- Package ‘compare’ The Comprehensive R Archive Network
- diff function R Documentation

## How To Use Diff In R Add Na

I usually use any and all to check logical statements applied across a vector, check for NA values, or to examine a vector of logical values. The last example listed below shows a vector with zero elements; the output of any and all in this case may at first be confusing.

- significant difference between diets 1 and 3 (p = 0.02) with people on diet 3 lost on average 1.85 kg more than those on diet 3. There was also a significant difference
- This is a my df (data.frame): group value 1 10 1 20 1 25 2 5 2 10 2 15 I need to calculate difference between values in consecutive rows by group.
- Arguments x. a numeric vector or matrix containing the values to be differenced. lag. an integer indicating which lag to use. differences. an integer indicating the order of the difference.
- Missing values in data is a common phenomenon in real world problems. Knowing how to handle missing values effectively is a required step to reduce bias and to produce powerful models. Lets explore various options of how to deal with missing values and how to implement them. Lets use the