forked from tidyverse/ggplot2
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathquick-plot.r
166 lines (147 loc) · 5.62 KB
/
quick-plot.r
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
#' Quick plot
#'
#' \code{qplot} is the basic plotting function in the ggplot2 package,
#' designed to be familiar if you're used to \code{\link{plot}}
#' from the base package. It is a convenient wrapper for creating
#' a number of different types of plots using a consistent
#' calling scheme. See \url{http://had.co.nz/ggplot2/book/qplot.pdf}
#' for the chapter in the \code{ggplot2} book which describes the usage
#' of \code{qplot} in detail.
#'
#' @param x x values
#' @param y y values
#' @param ... other aesthetics passed for each layer
#' @param data data frame to use (optional). If not specified, will create
#' one, extracting vectors from the current environment.
#' @param facets faceting formula to use. Picks \code{\link{facet_wrap}} or
#' \code{\link{facet_grid}} depending on whether the formula is one sided
#' or two-sided
#' @param margins whether or not margins will be displayed
#' @param geom character vector specifying geom to use. Defaults to
#' "point" if x and y are specified, and "histogram" if only x is specified.
#' @param stat character vector specifying statistics to use
#' @param position character vector giving position adjustment to use
#' @param xlim limits for x axis
#' @param ylim limits for y axis
#' @param log which variables to log transform ("x", "y", or "xy")
#' @param main character vector or expression for plot title
#' @param xlab character vector or expression for x axis label
#' @param ylab character vector or expression for y axis label
#' @param asp the y/x aspect ratio
#' @aliases qplot quickplot
#' @export qplot quickplot
#' @examples
#' \donttest{
#' # Use data from data.frame
#' qplot(mpg, wt, data=mtcars)
#' qplot(mpg, wt, data=mtcars, colour=cyl)
#' qplot(mpg, wt, data=mtcars, size=cyl)
#' qplot(mpg, wt, data=mtcars, facets=vs ~ am)
#'
#' # It will use data from local environment
#' hp <- mtcars$hp
#' wt <- mtcars$wt
#' cyl <- mtcars$cyl
#' vs <- mtcars$vs
#' am <- mtcars$am
#' qplot(hp, wt)
#' qplot(hp, wt, colour=cyl)
#' qplot(hp, wt, size=cyl)
#' qplot(hp, wt, facets=vs ~ am)
#'
#' qplot(1:10, rnorm(10), colour = runif(10))
#' qplot(1:10, letters[1:10])
#' mod <- lm(mpg ~ wt, data=mtcars)
#' qplot(resid(mod), fitted(mod))
#' qplot(resid(mod), fitted(mod), facets = . ~ vs)
#'
#' f <- function() {
#' a <- 1:10
#' b <- a ^ 2
#' qplot(a, b)
#' }
#' f()
#'
#' # qplot will attempt to guess what geom you want depending on the input
#' # both x and y supplied = scatterplot
#' qplot(mpg, wt, data = mtcars)
#' # just x supplied = histogram
#' qplot(mpg, data = mtcars)
#' # just y supplied = scatterplot, with x = seq_along(y)
#' qplot(y = mpg, data = mtcars)
#'
#' # Use different geoms
#' qplot(mpg, wt, data = mtcars, geom="path")
#' qplot(factor(cyl), wt, data = mtcars, geom=c("boxplot", "jitter"))
#' qplot(mpg, data = mtcars, geom = "dotplot")
#' }
qplot <- function(x, y = NULL, ..., data, facets = NULL, margins=FALSE, geom = "auto", stat=list(NULL), position=list(NULL), xlim = c(NA, NA), ylim = c(NA, NA), log = "", main = NULL, xlab = deparse(substitute(x)), ylab = deparse(substitute(y)), asp = NA) {
argnames <- names(as.list(match.call(expand.dots=FALSE)[-1]))
arguments <- as.list(match.call()[-1])
aesthetics <- compact(arguments[.all_aesthetics])
aesthetics <- aesthetics[!is.constant(aesthetics)]
aes_names <- names(aesthetics)
aesthetics <- rename_aes(aesthetics)
class(aesthetics) <- "uneval"
if (missing(data)) {
# If data not explicitly specified, will be pulled from workspace
data <- data.frame()
# Faceting variables must be in a data frame, so pull those out
facetvars <- all.vars(facets)
facetvars <- facetvars[facetvars != "."]
names(facetvars) <- facetvars
facetsdf <- as.data.frame(lapply(facetvars, get))
if (nrow(facetsdf)) data <- facetsdf
}
# Work out plot data, and modify aesthetics, if necessary
if ("auto" %in% geom) {
if (stat == "qq" || "sample" %in% aes_names) {
geom[geom == "auto"] <- "point"
stat <- "qq"
} else if (missing(y)) {
geom[geom == "auto"] <- "histogram"
if (is.null(ylab)) ylab <- "count"
} else {
if (missing(x)) {
aesthetics$x <- bquote(seq_along(.(y)), aesthetics)
}
geom[geom == "auto"] <- "point"
}
}
env <- parent.frame()
p <- ggplot(data, aesthetics, environment = env)
if (is.null(facets)) {
p <- p + facet_null()
} else if (is.formula(facets) && length(facets) == 2) {
p <- p + facet_wrap(facets)
} else {
p <- p + facet_grid(facets = deparse(facets), margins = margins)
}
if (!is.null(main)) p <- p + ggtitle(main)
# Add geoms/statistics
if (is.proto(position)) position <- list(position)
mapply(function(g, s, ps) {
if(is.character(g)) g <- Geom$find(g)
if(is.character(s)) s <- Stat$find(s)
if(is.character(ps)) ps <- Position$find(ps)
# Have to use non-standard evaluation because we can't evaluate ...
params <- arguments[setdiff(names(arguments), c(aes_names, argnames))]
# 1: mapply, 2: qplot, 3: caller of qplot
params <- lapply(params, eval, parent.frame(3))
p <<- p + layer(geom=g, stat=s, geom_params=params, stat_params=params, position=ps)
}, geom, stat, position)
logv <- function(var) var %in% strsplit(log, "")[[1]]
if (logv("x")) p <- p + scale_x_log10()
if (logv("y")) p <- p + scale_y_log10()
if (!is.na(asp)) p <- p + theme(aspect.ratio = asp)
if (!missing(xlab)) p <- p + xlab(xlab)
if (!missing(ylab)) p <- p + ylab(ylab)
if (!missing(xlim)) p <- p + xlim(xlim)
if (!missing(ylim)) p <- p + ylim(ylim)
p
}
quickplot <- qplot
# is.constant
is.constant <- function(x) {
sapply(x, function(x) "I" %in% all.names(asOneSidedFormula(x)))
}