Introduction to the R Language - Functions
The scoping rules for R are the main feature that make it di erent from the original S language The scoping rules determine how a value is associated with a free variable in a function R uses lexical scoping or static scoping A common alternative is dynamic scoping Related to the scoping rules is how R uses the search list to bind a value to
Writing R Functions - CMU Statistics
Programming in R is organized around functions You all know what a mathemat-ical function is, like logx or (z) or sin : it is a rule which takes some inputs and delivers a definite output A function in R, like a mathematical function, takes zero or more inputs, also called arguments, and returns an output The output is arrived
Apply functions with purrr : : CHEAT SHEET
purrr::map_lgl( x, f, Apply f element-wise to x, return a logical vector n_iris > transmute(n = map_lgl(data, is matrix)) purrr::map_int( x, f, Apply f
Package ‘futureapply’ - The Comprehensive R Archive Network
future apply future apply: Apply Function to Elements in Parallel using Futures Description The future apply packages provides parallel implementations of common "apply" functions pro-vided by base R The parallel processing is performed via the future ecosystem, which provides
list of some useful R functions - Columbia University
integrate() - adaptive quadrature over a nite or in nite interval 4 Plotting plot() - generic R object plotting par() - set or query graphical parameters
A ``Level-Zero Tutorial for Getting Started with R
a “level-zero" tutorial for getting started with r 2 This tutorial will use screenshots from the Mac version, but other than appearance, everything should be similar in Windows Opening R for the First Time When you open R, the main window that opens is the R console, shown in Figure 2 A second window, for a script editor, may also open
∫bf (x) ∫Af (x - ConsultGLP
Now, let’s see how we can use R language to plot a density function Define a vector x over the domain We can then apply the distribution’s density function to x and then plot the result The code sniper plots the standard normal distribution: > x plot(x,dnorm(x)) >
Package ‘xts’ - R
Apply a function to the data of an existing xts plot object and plot the result FUN should have arguments x or R for the data of the existing xts plot object to be passed to All other additional arguments for FUN are passed through Usage addPanel(FUN, main = "", on = NA, type = "l", col = NULL, lty = 1, lwd = 1, pch = 1, ) Arguments
Introduction to the eventstudies package in R
Introduction to the eventstudies package in R Ajay Shah Sargam Jain June 1, 2020 1 The standard event study in nance In this section, we look at using the ‘eventstudies’ package for the purpose of doing the standard event study using daily returns data in nancial economics This is a workhorse application of event studies
III17 The Lambert W Function - Princeton University
thereof Images of Wk(reiθ)for various k, r, and θare shown in figure 2 In contrast to more commonly encountered multi-branched functions, such as the inverse sine or cosine, the branches of Ware not linearly related However, by rephrasing things slightly, in terms of the unwinding number K(z):= z−ln(ez) 2πi and the related single
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