# partial_eval

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##### Partially evaluate an expression.

This function partially evaluates an expression, using information from the tbl to determine whether names refer to local expressions or remote variables. This simplifies SQL translation because expressions don't need to carry around their environment - all revelant information is incorporated into the expression.

Keywords
internal
##### Usage
partial_eval(call, tbl = NULL, env = parent.frame())
##### Arguments
call

an unevaluated expression, as produced by quote

tbl

a tbl object

env

environment in which to search for local values

##### Symbol substitution

partial_eval needs to guess if you're referring to a variable on the server (remote), or in the current environment (local). It's not possible to do this 100

• If the tbl variables are known, and the symbol matches a tbl variable, then remote.

• If the symbol is defined locally, local.

• Otherwise, remote.

• partial_eval
##### Examples
library(dplyr) if (require("Lahman")) { bdf <- tbl_df(Batting) partial_eval(quote(year > 1980), bdf) ids <- c("ansonca01", "forceda01", "mathebo01") partial_eval(quote(id %in% ids), bdf) # You can use local to disambiguate between local and remote # variables: otherwise remote is always preferred year <- 1980 partial_eval(quote(year > year), bdf) partial_eval(quote(year > local(year)), bdf) # Functions are always assumed to be remote. Use local to force evaluation # in R. f <- function(x) x + 1 partial_eval(quote(year > f(1980)), bdf) partial_eval(quote(year > local(f(1980))), bdf) # For testing you can also use it with the tbl omitted partial_eval(quote(1 + 2 * 3)) x <- 1 partial_eval(quote(x ^ y)) } 
Documentation reproduced from package dplyr, version 0.5.0, License: MIT + file LICENSE

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