30-04-2021

Xts Cheat Sheet

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Even though the data.frame object is one of the core objects to hold data in R, you’ll find that it’s not really efficient when you’re working with time series data. You’ll find yourself wanting a more flexible time series class in R that offers a variety of methods to manipulate your data.

xts or the Extensible Time Series is one of such packages that offers such a time series object. It’s a powerful R package that provides an extensible time series class, enabling uniform handling of many R time series classes by extending zoo, which is the package that is the creator for an S3 class of indexed totally ordered observations which includes irregular time series.

xts has a lot to offer to make your time series analysis fast and mistake free, but it can take some time to get used to it.

Xts Cheat Sheet: Time Series in R Get started on time series in R with this xts cheat sheet, with code examples. Even though the data.frame object is one of the core objects to hold data in R, you'll find that it's not really efficient when you're working with time series data. LF digital platform. ORDER MANAGEMENT. Kelly.robertson, 14:24 19 Jan 18. For your 'Start a Business' section, add this non-profit! They are amazing, their services are FREE to all Veterans, they have an annual Business Summit (Free to attendees) to help Veterans become a true Certified and Registered Veteran-Owned Business and they are the reason whyy I have been so successful in my own business since departure from the military. Xts Cheat Sheet: Time Series in R May 17th, 2017 Tackle time series in R with this xts (Extensible Time Series) cheat sheet! Bayesplot cheat sheet by Edward Roualdes; R package development cheat sheet with devtools; R syntax comparison cheat sheet by Amelia McNamara; xts cheat sheet for time series by DataCamp; RStudio cheat sheet GitHub; reticulate cheat sheet by RStudio; Many of the above cheat sheets are hosted in the official RStudio cheat sheet overview.

This xts cheat sheet provides you not only with an overview of the xts object, how to create and inspect them, but also goes deeper into how you can manipulate time series with xts: you’ll see how to replace and update values, how to select, index and subset your objects, how to handle missing values and how to perform arithmetic operations.

Click on the button below to see (and download) the xts cheat sheet:

(Click above to download a printable version or read the online version below.)

This cheat sheet will help you to get yourself up to speed in no time!

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R For Data Science Cheat Sheet: xts

eXtensible Time Series (xts) is a powerful package that provides an extensible time series class, enabling uniform handling of many R time series classes by extending zoo.

Load the package as follows:

Xts Objects

xts objects have three main components:

coredata: always a matrix for xts objects
index: vector of any Date, POSIXct, chron, yearmon, yearqtr, or DateTime classes
xtsAttributes: arbitrary attributes

Creating xts Objects

Convert To And From xts

Import From Files

Inspect Your Data

Extract core data of objects

Extract index from objects

Class Attributes

Get index class

Replacing index class

Get index class

Change format of time display

Time Zones

Change the time zone

Extract the current time zone

Periods, Periodicity & Timestamps

Estimate frequency of observations

Convert xts5 to yearly OHLC

Convert xts3 to monthly OHLC

Convert xts5 to quarterly OHLC

Convert to quarterly OHLC

Convert to yearly OHLC

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Count the months in xts5

Count the quarters in xts5

Count the years in xts5

Make index unique

Remove duplicate times

Round index time to the next n seconds

Other Useful Functions

Extract raw numeric index of xts1

value of weekday in index of xts3

Value of hour in index of xts3

Extract first observation of xts3

Extract last observation of xts4

Display structure of xts3

Extract raw numeric index of xts1

First part of xts2

Last part of xts2

Export `xts` Objects

Replace & Update

Replace values in xts2 on dates with 0

Replace dates from 1961 with NA

Replace the value at 1 specific index with NA

Applying Functions

Locate endpoints by time

Calculate the yearly mean

Split xts5 by year

Create a list of yearly means

Find the last observation in each year in xts5

Calculate cumulative annual passengers

Apply standard deviation to rolling margins of xts5

Selecting, Subsetting & Indexing

Select

Subset

Get all data from 1954

Extract data from Jan to March ‘54

Get all data until March ‘54

Subset xts4 using ep2

`first()` and `last()`

Indexing

Extract rows with the index of xts3

Extract rows using the vector days

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Extract rows using days as POSIXct

Index of weekend days

Extract weekend days of xts1

Missing Values

Omit NA values in xts5

Fill missing values in xts2 using last observation

Fill missing values in xts2 using next observation

Interpolate NAs

Arithmetic Operations

`coredata()` or `as.numeric()`

Shifting Index Values

Period-over-period differences

Lagged differences

Reindexing

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Merging

Going Further

Want to know more about xts? Check out DataCamp’s Manipulating Time Series Data in R with xts & zoo course!

If you thought the recently debuted Cadillac (NYSE:GM) XTS had everything going for it with the exception of a more potent trim level, you are not alone — and Cadillac has been listening. The company added the XTS Vsport to its growing roster of overhauled vehicles, and the Vsport’s most significant contribution to the base model is the pair of turbos under the hood.

The XTS doesn’t entirely forego its silky smooth luxury car ride in the name of performance. Unlike its sibling, the CTS-V, the Vsport edition offers some performance add-ons but is not a full-blown performance-spec layout. That being said, the new 3.6-liter twin turbo V6 is good for 410 horsepower and 369 lb-ft. of torque, making it one of the most powerful V6 engines in its segment.

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“The addition of the new Cadillac twin turbo expands and elevates the XTS luxury sedan,” Bob Ferguson, vice president of global Cadillac, said in a statement. “This is a compelling enhancement to what is already one of the most technically advanced sedans in our history.”

The Vsport — which is only available with the premium or platinum trim levels — will also have a dedicated set of 20-inch rims and a grill designed specifically for the Vsport models. Buyers can expect to pay around $63,020 at base for the higher-performance model, significantly more than the $45,525 asked for the base XTS.

Buyers of the CTS-V were treated to an automatic eight-speed transmission, but Cadillac says the XTS Vsport will only sport an automatic six-speed, as well as all-wheel drive.

Performance trims falling between the base model and high-performance models have offered buyers who want a little bit more out of their daily drivers ways to achieve that without spending tremendous amounts of money. For example, Audi’s S6 sedan falls between the base A6 and the totally insane RS6 (the latest of which is not available in the U.S.). Likewise, BMW has the 550i, featuring a twin-turbo V8 that fits between the base 528i and the M5.