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Coming Soon Logo The combination of first class environments and lexical scoping gives us a powerful toolkit for creating embedded domain specific languages (DSLs) in R. Embedded DSLs take advantage of a host language's parsing and execution framework, but adjust the semantics somewhat to make them more suitable for a specific task. Seed Business Cards
Recycled Business Cards R already has a simple and popular DSL built in: the formula specification, which offers a succinct way of describing the relationship between predictors and the response. Other examples of DSLs include ggplot2 (for visualisation), and plyr (for data manipulation). Another package that makes extensive use of these ideas is dplyr, which provides to_sql() to converts R expressions into SQL: How Tto Start A Blog Post
library(dplyr) to_sql(sin(x) + tan(y)) # <SQL> SIN(x) + TAN(y) to_sql(x < 5 & !(y >= 5)) # <SQL> x < 5.0 AND NOT((y >= 5.0)) to_sql(first %like% "Had*") # <SQL> first LIKE 'Had*' to_sql(first %in% c("John", "Roger", "Robert")) # <SQL> first IN ('John', 'Roger', 'Robert') to_sql(like == 7) # <SQL> "like" = 7.0ASP Image Once you have read this chapter, you might want to study the source code for dplyr. An important part of the overall structure of the package is partial_eval() which helps manage expressions where some of the components refer to variables in the database and some refer to local R objects. You could use very similar ideas if you needed to translate small R expressions into other languages, like javascript or python. Converting complete R programs would be extremely difficult, but often being able to communicate a simple description of computation between languages is very useful. Instagram Story Though
Project Gantt Chart Example R is well suited for hosting DSLs because the combination of a small amount of computing on the language and constructing special evaluation environments is very powerful. Creating new DSLs in R uses many techniques that you've learned about elsewhere in the book, including: Example Of A Blog Page For The Restaurant
- scoping rules
- creating and manipulating functions
- computing on the language
- S3 basics
Incident Review Sample This chapter will develop two simple, but useful, DSLs, one for generating HTML, and one for turning R mathematical expressions into a form suitable for inclusion in latex. Mercedes Launch New Design Philosophy
683 Credit Score DSLs are a very large topic, and this chapter will only scratch the surface, focussing on important techniques and not so much on how you might come up with the language in the first place. If you're interested in learning more, I highly recommend EDM For New Product by Martin Fowler: it discusses many options for creating a DSL and provides many examples of different languages. Mun Core Team Instagram Post Ideas
Instagram Story Stamp Reward HTML is the language that underlies the majority of the web. It is a special case of SGML, and similar (but not identical) to XML. HTML looks like this: Article In A Web Magazine
<body> <h1 id='first'>A heading</h1> <p>Some text & <b>some bold text.</b></p> <img src='myimg.png' width='100' height='100' /> </body>Event Management Decoration Even if you've never seen HTML before, hopefully you can see the key component of the structure: HTML is composed of tags that look like <tag></tag>. Tags can be contained inside other tags and intermingled with text. Generally, html ignores whitespace: an sequence of whitespace is equivalent to a single space. You could put the previous example all on online and it would still display the same in the browser: Chase Ink Logo
<body><h1 id='first'>A heading</h1><p>Some text & <b>some bold text.</b></p><img src='myimg.png' width='100' height='100' /> </body>Product Launch Beauty However, like R code, you usually want to indent HTML to make it more obvious to see the structure. What Should Ur E-Filling Hom Page Look Like
How To Read Others Blogs On Blogger There are over 100 html tags, but to illustrate HTML we're going to focus on just a few: Blog Ideas For Kids
-
<body>: the top-level tag that all content is enclosed within -
<h1>: creates a heading-1, the top level heading -
<p>: creates a paragraph -
<b>: emboldens text -
<img>: embeds an image
How To Read Article Design (you probably guessed what these did already!) A News Feed For Media And Information
How To Get A Cash Advance From A Credit Card Tags can also have named attributes that look like <tag a="a" b="b"></tags>. Tag values should always be enclosed in either single or double quotes. Two important attributes used on just about every tag are id and class. These are used in conjunction with CSS (cascading style sheets) in order to control the style of the document. Example Of Blog Literature
Our Services Social Media Post Ideas Some tags, like <img>, can't have any content. These are called void tags and have a slightly different syntax: instead of writing <img></img> you write <img />. Since they have no content, attributes are more imporant, and img has three that are used for almost every image: src (where the image lives), width and height. PowerPoint Templates For Product Presentation
Bank Of America Pin Card Because < and > have special meanings in html, you can't write them directly. Instead you have to use the html escapes > and <. And since those escapes use &, you also have to escape it with & if you want a literal ampersand. Facebook. Product Post Ad Post Design
Transparent Business Card Template Our goal is to make it easy to generate html from R. To give a concrete example, we want to generate the following html: How To Title A Scientific Article
<body> <h1 id='first'>A heading</h1> <p>Some text & <b>some bold text.</b></p> <img src='myimg.png' width='100' height='100' /> </body>How To Create Story In Instagram Using Laptop using code that looks as similar to the html as possible. We will work our way up to the following DSL: Cute Instagram Stickers
with_html(body( h1("A heading", id = "first"), p("Some text &", b("some bold text.")), img(src = "myimg.png", width = 100, height = 100) ))Producton Planning Timeline Template PPT Note that the nesting of function calls is the same as the nesting of tags, unnamed arguments become the content of the tag, and named arguments become the attributes. Because tags and text are clearly distinct in this api, we can automatically escape & and other special characters. Female Property Manager
Mail Clip Art Transparent Escaping is so fundamental we're going to start with it. We first start by creating a way of escaping the characters that have special meaning for html, while making sure we don't end up double-escaping at any point. The easiest way to do this is to create an S3 class that allows us to distinguish between regular text (that needs escaping) and html (that doesn't). Things For Snapchat Story
Launching Product Feeds Instagram We then write an escape method that leaves html unchanged and escapes the special characters (&, <, >) in ordinary text. We also add a method for lists for convenience IG Story Grid
html <- function(x) structure(x, class = "html") print.html <- function(x, ...) cat("<HTML> ", x, "\n", sep = "") escape <- function(x) UseMethod("escape") escape.html <- function(x) x escape.character <- function(x) { x <- gsub("&", "&", x) x <- gsub("<", "<", x) x <- gsub(">", ">", x) html(x) } escape.list <- function(x) { lapply(x, escape) } # Now we check that it works escape("This is some text.") # <HTML> This is some text. escape("x > 1 & y < 2") # <HTML> x > 1 & y < 2 # Double escaping is not a problem escape(escape("This is some text. 1 > 2")) # <HTML> This is some text. 1 > 2 # And text we know is html doesn't get escaped. escape(html("<hr />")) # <HTML> <hr />Event Post For Facebook Escaping is an important component for any dsl. Example Of A Blog Post For Students Templates
Good Night Story Next we'll write a few simple tag functions and then figure out how to generalise for all possible html tags. Let's start with <p>. HTML tags can have both attributes (e.g. id, or class) and children (like <b> or <i>). We need some way of separating these in the function call: since attributes are named values and children don't have names, it seems natural to separate using named vs. unnamed arguments. Then a call to p() might look like: Excel Product Category Launch Template
p("Some text.", b("some bold text"), class = "mypara")Save The Date Posting We could list all the possible attributes of the p tag in the function definition, but that's hard because there are so many, and it's possible to use Introducing Brand Social Media Post Instead we'll just use ... and separate the components based on whether or they are named. To do this correctly, we need to be aware of a "feature" of names(): New Product Awards
names(c(a = 1, b = 2)) # [1] "a" "b" names(c(a = 1, 2)) # [1] "a" "" names(c(1, 2)) # NULLDoula Logo With this in mind we create two helper functions to extract the named and unnamed components of a vector: Bank Of America Online Virtual Terminal In Online Banking
named <- function(x) { if (is.null(names(x))) return(NULL) x[names(x) != ""] } unnamed <- function(x) { if (is.null(names(x))) return(x) x[names(x) == ""] }Business Cards Flyers We can now create our p() function. There's one new function here: html_attributes(). This takes a list of name-value pairs and creates the correct html attributes specification from them. It's a little complicated (to deal with some idiosyncracies of html that I haven't mentioned), not that important and doesn't introduce any new ideas, so I won't discuss it here, but it's included at the end of the chapter. Product Marketting Presentation Template
source("code/html-attributes.r") p <- function(...) { args <- list(...) attribs <- html_attributes(named(args)) children <- unlist(escape(unnamed(args))) html(paste0( "<p", attribs, ">", paste(children, collapse = ""), "</p>" )) } p("Some text") # <HTML> <p>Some text</p> p("Some text", id = "myid") # <HTML> <p id = 'myid'>Some text</p> p("Some text", image = NULL) # <HTML> <p image>Some text</p> p("Some text", class = "important", "data-value" = 10) # <HTML> <p class = 'important' data-value = '10'>Some text</p>Small Business Executive Summary Examples With this definition of p() it's pretty easy to see what will change for different tags: we just need to replace "p" with a variable. We'll use a closure to make it easy to generate a tag function given a tag name: Cosmetology Business Cards
tag <- function(tag) { force(tag) function(...) { args <- list(...) attribs <- html_attributes(named(args)) children <- unlist(escape(unnamed(args))) html(paste0( "<", tag, attribs, ">", paste(children, collapse = ""), "</", tag, ">" )) } }Qrcode Business Cards (We're forcing the evaluation tag with the expectation we'll be calling this function from a loop later on - that avoids potential bugs caused by lazy evaluation.) Website Launch EDM
Personal Blog Post Now we can run our earlier example: How To Find Your Pin Number Bank Of America
p <- tag("p") b <- tag("b") i <- tag("i") p("Some text.", b("Some bold text"), i("Some italic text"), class = "mypara") # <HTML> <p class = 'mypara'>Some text.<b>Some bold text</b><i>Some italic text</i></p>News Feed Design Fo Website Before we continue to generate functions for every possible html tag, we need a variant of tag() for void tags. It can be very similar to tag(), but needs to throw an error if there are any unnamed tags, and the tag itself looks slightly different: Blog Post UI
void_tag <- function(tag) { force(tag) function(...) { args <- list(...) if (length(unnamed(args)) > 0) { stop("Tag ", tag, " can not have children", call. = FALSE) } attribs <- html_attributes(named(args)) html(paste0("<", tag, attribs, " />")) } } img <- void_tag("img") img(src = "myimage.png", width = 100, height = 100) # <HTML> <img src = 'myimage.png' width = '100' height = '100' />How To Do A Website On Peper Next we need a list of all the html tags: Workplace Blog Post Ideas
tags <- c("a", "abbr", "address", "article", "aside", "audio", "b", "bdi", "bdo", "blockquote", "body", "button", "canvas", "caption", "cite", "code", "colgroup", "data", "datalist", "dd", "del", "details", "dfn", "div", "dl", "dt", "em", "eventsource", "fieldset", "figcaption", "figure", "footer", "form", "h1", "h2", "h3", "h4", "h5", "h6", "head", "header", "hgroup", "html", "i", "iframe", "ins", "kbd", "label", "legend", "li", "mark", "map", "menu", "meter", "nav", "noscript", "object", "ol", "optgroup", "option", "output", "p", "pre", "progress", "q", "ruby", "rp", "rt", "s", "samp", "script", "section", "select", "small", "span", "strong", "style", "sub", "summary", "sup", "table", "tbody", "td", "textarea", "tfoot", "th", "thead", "time", "title", "tr", "u", "ul", "var", "video") void_tags <- c("area", "base", "br", "col", "command", "embed", "hr", "img", "input", "keygen", "link", "meta", "param", "source", "track", "wbr")Apple Product Lauchs If you look at this list carefully, you'll see there are quite a few tags that have the same name as base R functions (body, col, q, source, sub, summary, table), and others that clash with popular packages (e.g. map). That implies we don't want to make all the functions available (in either the global environment or a package environment) by default. Instead, we'll put them in a list, and add some additional code to make it easy to use them when desired. First we make a named list: Good Starting Credit Card
tag_fs <- c( setNames(lapply(tags, tag), tags), setNames(lapply(void_tags, void_tag), void_tags) )Instagram LinkButton Image This gives us a way to call tag functions explicitly, but is a little verbose: Read Aloud Adult
tag_fs$p("Some text.", tag_fs$b("Some bold text"), tag_fs$i("Some italic text")) # <HTML> <p>Some text.<b>Some bold text</b><i>Some italic text</i></p>Instagram Clothing Brand Logo Then we finish off our HTML DSL by creating a function that allows us to evaluate code in the context of that list: It And MSP Blog Post Ideas
with_html <- function(code) { eval(substitute(code), tag_fs) }Sadn Get To Your Know This gives us a succinct API which allows us to write html when we need it without cluttering up the namespace when we don't. Inside with_html if you want to access the R function overridden by an html tag of the same name, you can use the full package::function specification. Coming Soon Cafe Social Media Post
with_html(body( h1("A heading", id = "first"), p("Some text &", b("some bold text.")), img(src = "myimg.png", width = 100, height = 100) )) # <HTML> <body><h1 id = 'first'>A heading</h1><p>Some text &<b>some bold text.</b></p><img src = 'myimg.png' width = '100' height = '100' /></body>-
What To Post On My Story The escaping rules for
<script>and<style>tags are different: you don't want to escape angle brackets or ampersands, but you do want to escape</. Adapt the code above to follow these rules. International Read Aloud Day -
Easy To Get Business Credit Cards The use of ... for all functions has some big downsides: there's no input validation and there will be little information in the documentation or autocomplete about how to use the function. Create a new function that when given a named list of tags and their attribute names (like below), creates functions with those signatures. Facebook Post Cast
list( a = c("href"), img = c("src", "width", "height") )
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classandidattributes. Launching New Product -
Product Launch Gantt Chart Currently the html doesn't look terribly pretty, and it's hard to see the structure. How could you adapt
tag()to do be indenting and formatting? Instagram Birthday Post Ideas
Response To Inquiry Letter The next DSL we're going to tackle will convert R expression into their latex math equivalents. (This is a bit like ?plotmath, but for text instead of plots.) Latex is the lingua franca of mathematicians and statisticians: whenever you want to describe an equation in text (e.g. in an email) you write it as a latex equation. Many reports are produced from R using latex, so it might be useful to facilitate the automate conversion from mathematical expressions from one language to the other. Example Of Book Launch Agenda
Product Launch Timeline Tracker Word Template This math expression DSL will be more complicated than the HTML DSL, because not only do we need to convert functions, but we also need to convert symbols. We'll also create a "default" conversion, so that functions we don't know how to convert get a standard fallback. Like the HTML dsl, we'll also write functionals to make it easier to generate the translators. How To Get Instagram Link
Product Launch Event Coverage Before we begin, let's quickly cover how formulas are expressed in latex. Sri Lanka Post Creat
Taxi Business Cards Latex mathematics are complex, and Example Of An Product Design. They have a fairly simple structure: How Do You Post A Story On Instagram On A Laptop
-
English Newspaper Kids Most simple mathematical equations are represented in the way you'd type them into R:
x * y,z ^ 5. Subscripts are written using_, e.g.x_1. Happy Birthday Boyfriend Instagram Post -
X Post Mockup Special characters start with a
\:\pi= π,\pm= ±, and so on. There are a huge number of symbols available in latex. Googling forlatex math symbolsfinds many Drop Down Letters, and there's even Tech Startup Logo Design where you can sketch a symbol in the browser and it will look it up for you. What Does Mint Look Like -
News Paper Layout Media Studies More complicated functions look like
\name{arg1}{arg2}. For example to represent a fraction you use\frac{a}{b}, and a sqrt looks like\sqrt{a}. Instagram Post IPhone Interface -
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{}: i.e.x ^ a + bvs.x ^ {a + b}. Smart Credit Cards -
Celebration Of New Product Launch In good math typesetting, a distinction is made between variables and functions, but without extra information, latex doesn't know whether
f(a * b)represents calling the functionfwith argumenta * b, or is shorthand forf * a * b. Iffis a function, you can tell latex to typeset it using an upright font with\textrm{f}(a * b)Conference Center Floor Plan
Story Books For Infants Our goal is to use these rules to automatically convert from an R expression to a latex representation of that expression. We will tackle it in four stages: EDM For New Product
- Convert known symbols:
pi->\pi - Leave other symbols unchanged:
x->x,y->y - Convert known functions:
x * pi->x * \pi,sqrt(frac(a, b))->\sqrt{\frac{a, b}} - Wrap unknown functions with
\textrm:f(a)->\textrm{f}(a)
Product Course Launch On Social Media Compared to the HTML dsl, we'll work in the opposite direction: we'll start with the infrastructure and work our way down to generate all the functions we need Points In Leaving Cert
Facebook First Post Business To begin, we need a wrapper function that we'll use to convert R expressions into latex math expressions. This works the same way as to_html: we capture the unevaluated expression and evaluate it in a special environment. However, the special environment is no longer fixed, and will vary depending on the expression. We need this in order to be able to deal with symbols and functions that we don't know about a priori. 80th Birthday Card Verses
to_math <- function(x) { expr <- substitute(x) eval(expr, latex_env(expr)) }Blog Post Comment Design Our first step is to create an environment that allows us to convert the special latex symbols used for Greek, e.g. pi to \pi. This is the same basic trick used in subset to make it possible to select column ranges by name (subset(mtcars, , cyl:wt)): we just bind a name to a string in a special environment. Facebook Post Large Template
Seed Business Cards First we create than environment by creating a named vector, converting that vector into a list, and then turn that list into an environment. Blog Post For School Example
greek <- c( "alpha", "theta", "tau", "beta", "vartheta", "pi", "upsilon", "gamma", "gamma", "varpi", "phi", "delta", "kappa", "rho", "varphi", "epsilon", "lambda", "varrho", "chi", "varepsilon", "mu", "sigma", "psi", "zeta", "nu", "varsigma", "omega", "eta", "xi", "Gamma", "Lambda", "Sigma", "Psi", "Delta", "Xi", "Upsilon", "Omega", "Theta", "Pi", "Phi") greek_list <- setNames(paste0("\\", greek), greek) greek_env <- list2env(as.list(greek_list), parent = emptyenv())How Tto Start A Blog Post We can then check it: Introducing Brand Social Media Post
latex_env <- function(expr) { greek_env } to_math(pi) # [1] "\\pi" to_math(beta) # [1] "\\beta"Instagram Story Though If a symbol isn't greek, we want to leave it as is. This is trickier because we don't know in advance what symbols will be used, and we can't possibly generate them all. So we'll use a little bit of computing on the language to find out what symbols are present in an expression. The all_names function takes an expression: if it's a name, it converts it to a string; if it's a call, it recurses down through its arguments. Custom Business Thank You Cards
all_names <- function(x) { # Base cases if (is.name(x)) return(as.character(x)) if (!is.call(x)) return(NULL) # Recursive case children <- lapply(x[-1], all_names) unique(unlist(children)) } all_names(quote(x + y + f(a, b, c, 10))) # [1] "x" "y" "a" "b" "c" # [1] "x" "y" "a" "b" "c"Example Of A Blog Page For The Restaurant We now want to take that list of symbols, and convert it to an environment so that each symbol is mapped to a string representing itself (e.g. so eval(quote(x), env) yields "x"). We again use the pattern of converting a named character vector to a list, then an environment. Cotton Business Cards
latex_env <- function(expr) { names <- all_names(expr) symbol_list <- setNames(as.list(names), names) symbol_env <- list2env(symbol_list) symbol_env } to_math(x) # [1] "x" to_math(longvariablename) # [1] "longvariablename" to_math(pi) # [1] "pi"Mercedes Launch New Design Philosophy This works, but we need to combine it with the enviroment of the Greek symbols. Since we want to prefer Greek to the defaults (e.g. to_math(pi) should give "\\pi", not "pi"), symbol_env needs to be the parent of greek_env, and thus we need to make a copy of greek_env with a new parent. Strangely R doesn't come with a function for cloning environments, but we can easily create one by combining two existing functions: Product Disply In On Post
clone_env <- function(env, parent = parent.env(env)) { list2env(as.list(env), parent = parent) }Mun Core Team Instagram Post Ideas This gives us a function that can convert both known (Greek) and unknown symbols. Author Bio
latex_env <- function(expr) { # Unknown symbols names <- all_names(expr) symbol_list <- setNames(as.list(names), names) symbol_env <- list2env(symbol_list) # Known symbols clone_env(greek_env, symbol_env) } to_math(x) # [1] "x" to_math(longvariablename) # [1] "longvariablename" to_math(pi) # [1] "\\pi"Article In A Web Magazine Next we'll add functions to our DSL. We'll start with a couple of helper closures that make it easy to add new unary and binary operators. These functions are very simple since they only have to assemble strings. (Again we use force to make sure the arguments are evaluated at the right time.) Vista Print Square Business Cards
unary_op <- function(left, right) { force(left) force(right) function(e1) { paste0(left, e1, right) } } binary_op <- function(sep) { force(sep) function(e1, e2) { paste0(e1, sep, e2) } }Chase Ink Logo Using these helpers, we can map a few illustrative examples from R to latex. Note how the lexical scoping rules of R help us: we can easily provide new meanings for standard functions like +, - and *, and even ( and {. Example Of An Product Design
# Binary operators f_env <- new.env(parent = emptyenv()) f_env$"+" <- binary_op(" + ") f_env$"-" <- binary_op(" - ") f_env$"*" <- binary_op(" * ") f_env$"/" <- binary_op(" / ") f_env$"^" <- binary_op("^") f_env$"[" <- binary_op("_") # Grouping f_env$"{" <- unary_op("\\left{ ", " \\right}") f_env$"(" <- unary_op("\\left( ", " \\right)") f_env$paste <- paste # Other math functions f_env$sqrt <- unary_op("\\sqrt{", "}") f_env$sin <- unary_op("\\sin(", ")") f_env$log <- unary_op("\\log(", ")") f_env$abs <- unary_op("\\left| ", "\\right| ") f_env$frac <- function(a, b) { paste0("\\frac{", a, "}{", b, "}") } # Labelling f_env$hat <- unary_op("\\hat{", "}") f_env$tilde <- unary_op("\\tilde{", "}")What Should Ur E-Filling Hom Page Look Like We again modify latex_env() to include this environment. It should be the last environment in which names are looked for, so that sin(sin) works. (because of R's matching rules wrt functions vs. other objects) Drop Down Letters
latex_env <- function(expr) { # Known functions f_env # Default symbols names <- all_names(expr) symbol_list <- setNames(as.list(names), names) symbol_env <- list2env(symbol_list, parent = fenv) # Known symbols greek_env <- clone_env(greek_env, parent = symbol_env) } to_math(sin(x + pi)) # [1] "\\sin(x + \\pi)" to_math(log(x_i ^ 2)) # [1] "\\log(x_i^2)" to_math(sin(sin)) # [1] "\\sin(sin)"Blog Ideas For Kids Finally, we'll add a default for functions that we don't know about. Like the unknown names, we can't know in advance what these will be, so we again use a little computing on the language to figure them out: Tech Startup Logo Design
all_calls <- function(x) { # Base name if (!is.call(x)) return(NULL) # Recursive case fname <- as.character(x[[1]]) children <- lapply(x[-1], all_calls) unique(c(fname, unlist(children, use.names = FALSE))) } all_calls(quote(f(g + b, c, d(a)))) # [1] "f" "+" "d"A News Feed For Media And Information And we need a closure that will generate the functions for each unknown call Product Post Bg Image
unknown_op <- function(op) { force(op) function(...) { contents <- paste(..., collapse = ", ") paste0("\\mathrm{", op, "}(", contents, ")") } }Example Of Blog Literature And again we update latex_env(): The Blog Form For Kids
latex_env <- function(expr) { calls <- all_calls(expr) call_list <- setNames(lapply(calls, unknown_op), calls) call_env <- list2env(call_list) # Known functions f_env <- clone_env(f_env, call_env) # Default symbols symbols <- all_names(expr) symbol_list <- setNames(as.list(symbols), symbols) symbol_env <- list2env(symbol_list, parent = f_env) # Known symbols greek_env <- clone_env(greek_env, parent = symbol_env) } to_math(f(a * b)) # [1] "\\mathrm{f}(a * b)"-
PowerPoint Templates For Product Presentation Add automatic escaping. Special symbols that should be escaped by adding a backslash in front of them are
\,$and%. Like for sql, you'll need to make sure you don't end up double-escaping, so you'll need to create a small s3 class and then use that in function operators. That will also allow you to embed arbitrary latex if needed. Blog Post Laylot -
Facebook. Product Post Ad Post Design Complete the DSL to support all the functions that
plotmathsupports Kids Book PDF -
How To Title A Scientific Article There's a repeating pattern in
latex_env(): we take a character vector, do something to each piece, then convert it to a list, and then an environment. Write a function to automate this task, and then rewritelatex_env()3D Floor Plan Event