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
167
168
|
# Layout panels in a 2d grid.
#
# @params data list of data frames, one for each layer
# @params rows variables that form the rows
# @params cols variables that form the columns
# @return a data frame with columns \code{PANEL}, \code{ROW} and \code{COL},
# that match the facetting variable values up with their position in the
# grid
layout_grid <- function(data, rows = NULL, cols = NULL, margins = NULL, drop = TRUE, as.table = TRUE) {
if (length(rows) == 0 && length(cols) == 0) return(layout_null())
rows <- as.quoted(rows)
cols <- as.quoted(cols)
base_rows <- layout_base(data, rows, drop = drop)
if (!as.table) {
rev_order <- function(x) factor(x, levels = rev(ulevels(x)))
base_rows[] <- lapply(base_rows, rev_order)
}
base_cols <- layout_base(data, cols, drop = drop)
base <- df.grid(base_rows, base_cols)
# Add margins
base <- add_margins(base, list(names(rows), names(cols)), margins)
# Work around bug in reshape2
base <- unique(base)
# Create panel info dataset
panel <- id(base, drop = TRUE)
panel <- factor(panel, levels = seq_len(attr(panel, "n")))
rows <- if (is.null(names(rows))) 1L else id(base[names(rows)], drop = TRUE)
cols <- if (is.null(names(cols))) 1L else id(base[names(cols)], drop = TRUE)
panels <- data.frame(PANEL = panel, ROW = rows, COL = cols, base)
panels <- panels[order(panels$PANEL), , drop = FALSE]
rownames(panels) <- NULL
panels
}
# Layout out panels in a 1d ribbon.
#
# @params drop should missing combinations be excluded from the plot?
# @keywords internal
layout_wrap <- function(data, vars = NULL, nrow = NULL, ncol = NULL, as.table = TRUE, drop = TRUE) {
vars <- as.quoted(vars)
if (length(vars) == 0) return(layout_null())
base <- unrowname(layout_base(data, vars, drop = drop))
id <- id(base, drop = TRUE)
n <- attr(id, "n")
dims <- wrap_dims(n, nrow, ncol)
layout <- data.frame(PANEL = factor(id, levels = seq_len(n)))
if (as.table) {
layout$ROW <- as.integer((id - 1L) %/% dims[2] + 1L)
} else {
layout$ROW <- as.integer(dims[1] - (id - 1L) %/% dims[2])
}
layout$COL <- as.integer((id - 1L) %% dims[2] + 1L)
panels <- cbind(layout, unrowname(base))
panels <- panels[order(panels$PANEL), , drop = FALSE]
rownames(panels) <- NULL
panels
}
layout_null <- function(data) {
data.frame(PANEL = 1, ROW = 1, COL = 1)
}
# Base layout function that generates all combinations of data needed for
# facetting
# The first data frame in the list should be the default data for the plot.
# Other data frames in the list are ones that are added to layers.
#
# @params data list of data frames (one for each layer)
# @keywords internal
layout_base <- function(data, vars = NULL, drop = TRUE) {
if (length(vars) == 0) return(data.frame())
# For each layer, compute the facet values
values <- compact(llply(data, quoted_df, vars = vars))
# Form the base data frame which contains all combinations of facetting
# variables that appear in the data
has_all <- unlist(llply(values, length)) == length(vars)
if (!any(has_all)) {
stop("At least one layer must contain all variables used for facetting")
}
base <- unique(ldply(values[has_all]))
if (!drop) {
base <- unique_combs(base)
}
# Systematically add on missing combinations
for (value in values[!has_all]) {
if (empty(value)) next;
old <- base[setdiff(names(base), names(value))]
new <- unique(value[intersect(names(base), names(value))])
if (drop) {
new <- unique_combs(new)
}
base <- rbind(base, df.grid(old, new))
}
if (is.null(base)) {
stop("Faceting variables must have at least one value")
}
base
}
ulevels <- function(x) {
if (is.factor(x)) {
x <- addNA(x, TRUE)
factor(levels(x), levels(x), exclude = NULL)
} else {
sort(unique(x))
}
}
unique_combs <- function(df) {
if (length(df) == 0) return()
unique_values <- llply(df, ulevels)
rev(expand.grid(rev(unique_values), stringsAsFactors = FALSE,
KEEP.OUT.ATTRS = TRUE))
}
df.grid <- function(a, b) {
if (nrow(a) == 0) return(b)
if (nrow(b) == 0) return(a)
indexes <- expand.grid(
i_a = seq_len(nrow(a)),
i_b = seq_len(nrow(b))
)
unrowname(cbind(
a[indexes$i_a, , drop = FALSE],
b[indexes$i_b, , drop = FALSE]
))
}
quoted_df <- function(data, vars) {
values <- eval.quoted(vars, data, emptyenv(), try = TRUE)
as.data.frame(compact(values))
}
# Arrange 1d structure into a grid
wrap_dims <- function(n, nrow = NULL, ncol = NULL) {
if (is.null(ncol) && is.null(nrow)) {
rc <- grDevices::n2mfrow(n)
nrow <- rc[2]
ncol <- rc[1]
} else if (is.null(ncol)) {
ncol <- ceiling(n / nrow)
} else if (is.null(nrow)) {
nrow <- ceiling(n / ncol)
}
stopifnot(nrow * ncol >= n)
c(nrow, ncol)
}
|
