... | ... |
@@ -2,6 +2,7 @@ |
2 | 2 |
|
3 | 3 |
S3method(as.binary,phylo) |
4 | 4 |
S3method(as.data.frame,phylo) |
5 |
+S3method(as.data.frame,treedata) |
|
5 | 6 |
S3method(fortify,apeBootstrap) |
6 | 7 |
S3method(fortify,beast) |
7 | 8 |
S3method(fortify,codeml) |
... | ... |
@@ -20,6 +21,7 @@ S3method(fortify,phylo4d) |
20 | 21 |
S3method(fortify,phyloseq) |
21 | 22 |
S3method(fortify,r8s) |
22 | 23 |
S3method(fortify,raxml) |
24 |
+S3method(fortify,treedata) |
|
23 | 25 |
S3method(identify,gg) |
24 | 26 |
S3method(print,beastList) |
25 | 27 |
export("%+>%") |
... | ... |
@@ -1,3 +1,90 @@ |
1 |
+##' @importFrom ggplot2 fortify |
|
2 |
+##' @method fortify treedata |
|
3 |
+##' @export |
|
4 |
+fortify.treedata <- function(model, data, layout="rectangular", branch.length ="branch.length", |
|
5 |
+ ladderize=TRUE, right=FALSE, mrsd=NULL, ...) { |
|
6 |
+ model <- set_branch_length(model, branch.length) |
|
7 |
+ x <- reorder.phylo(get.tree(model), "postorder") |
|
8 |
+ if (is.null(x$edge.length) || branch.length == "none") { |
|
9 |
+ xpos <- getXcoord_no_length(x) |
|
10 |
+ } else { |
|
11 |
+ xpos <- getXcoord(x) |
|
12 |
+ } |
|
13 |
+ ypos <- getYcoord(x) |
|
14 |
+ N <- Nnode(x, internal.only=FALSE) |
|
15 |
+ xypos <- data.frame(node=1:N, x=xpos, y=ypos) |
|
16 |
+ |
|
17 |
+ df <- as.data.frame(model, branch.length="branch.length") # already set by set_branch_length |
|
18 |
+ idx <- is.na(df$parent) |
|
19 |
+ df$parent[idx] <- df$node[idx] |
|
20 |
+ rownames(df) <- df$node |
|
21 |
+ |
|
22 |
+ res <- merge(df, xypos, by='node', all.y=TRUE) |
|
23 |
+ |
|
24 |
+ ## add branch mid position |
|
25 |
+ res <- calculate_branch_mid(res) |
|
26 |
+ |
|
27 |
+ ## ## angle for all layout, if 'rectangular', user use coord_polar, can still use angle |
|
28 |
+ res <- calculate_angle(res) |
|
29 |
+ res |
|
30 |
+} |
|
31 |
+ |
|
32 |
+##' @method as.data.frame treedata |
|
33 |
+##' @export |
|
34 |
+## @importFrom treeio Nnode |
|
35 |
+## @importFrom treeio Ntip |
|
36 |
+as.data.frame.treedata <- function(x, row.names, optional, branch.length = "branch.length", ...) { |
|
37 |
+ tree <- set_branch_length(x, branch.length) |
|
38 |
+ |
|
39 |
+ ## res <- as.data.frame(tree@phylo) |
|
40 |
+ res <- as.data.frame_(tree@phylo) |
|
41 |
+ tree_anno <- get_tree_data(x) |
|
42 |
+ if (nrow(tree_anno) > 0) { |
|
43 |
+ res <- merge(res, tree_anno, by="node", all.x=TRUE) |
|
44 |
+ } |
|
45 |
+ return(res) |
|
46 |
+} |
|
47 |
+ |
|
48 |
+##@method as.data.frame phylo |
|
49 |
+##@export |
|
50 |
+as.data.frame_ <- function(x, row.names, optional, branch.length = "branch.length", ...) { |
|
51 |
+ phylo <- x |
|
52 |
+ ntip <- Ntip(phylo) |
|
53 |
+ N <- Nnode(phylo, internal.only=FALSE) |
|
54 |
+ |
|
55 |
+ tip.label <- phylo[["tip.label"]] |
|
56 |
+ res <- as.data.frame(phylo[["edge"]]) |
|
57 |
+ colnames(res) <- c("parent", "node") |
|
58 |
+ if (!is.null(phylo$edge.length)) |
|
59 |
+ res$branch.length <- phylo$edge.length |
|
60 |
+ |
|
61 |
+ label <- rep(NA, N) |
|
62 |
+ label[1:ntip] <- tip.label |
|
63 |
+ if ( !is.null(phylo$node.label) ) { |
|
64 |
+ label[(ntip+1):N] <- phylo$node.label |
|
65 |
+ } |
|
66 |
+ label.df <- data.frame(node=1:N, label=label) |
|
67 |
+ res <- merge(res, label.df, by='node', all.y=TRUE) |
|
68 |
+ isTip <- rep(FALSE, N) |
|
69 |
+ isTip[1:ntip] <- TRUE |
|
70 |
+ res$isTip <- isTip |
|
71 |
+ |
|
72 |
+ return(res) |
|
73 |
+} |
|
74 |
+ |
|
75 |
+get_tree_data <- function(tree_object) { |
|
76 |
+ tree_anno <- tree_object@data |
|
77 |
+ if (has.extraInfo(tree_object)) { |
|
78 |
+ if (nrow(tree_anno) > 0) { |
|
79 |
+ tree_anno <- merge(tree_anno, tree_object@extraInfo, by="node") |
|
80 |
+ } else { |
|
81 |
+ return(tree_object@extraInfo) |
|
82 |
+ } |
|
83 |
+ } |
|
84 |
+ return(tree_anno) |
|
85 |
+} |
|
86 |
+ |
|
87 |
+ |
|
1 | 88 |
##' convert tip or node label(s) to internal node number |
2 | 89 |
##' |
3 | 90 |
##' |
... | ... |
@@ -8,9 +8,11 @@ author: "\\ |
8 | 8 |
date: "`r Sys.Date()`" |
9 | 9 |
bibliography: ggtree.bib |
10 | 10 |
csl: nature.csl |
11 |
-output: |
|
12 |
- html_document: |
|
11 |
+output: |
|
12 |
+ prettydoc::html_pretty: |
|
13 | 13 |
toc: true |
14 |
+ theme: cayman |
|
15 |
+ highlight: github |
|
14 | 16 |
pdf_document: |
15 | 17 |
toc: true |
16 | 18 |
vignette: > |
... | ... |
@@ -44,38 +46,43 @@ The `gheatmap` function is designed to visualize phylogenetic tree with heatmap |
44 | 46 |
|
45 | 47 |
In the following example, we visualized a tree of H3 influenza viruses with their associated genotype. |
46 | 48 |
|
47 |
-```{r fig.width=20, fig.height=16, fig.align="center"} |
|
49 |
+```{r fig.width=8, fig.height=6, fig.align="center", warning=FALSE, message=FALSE} |
|
48 | 50 |
beast_file <- system.file("examples/MCC_FluA_H3.tree", package="ggtree") |
49 | 51 |
beast_tree <- read.beast(beast_file) |
50 | 52 |
|
51 | 53 |
genotype_file <- system.file("examples/Genotype.txt", package="ggtree") |
52 | 54 |
genotype <- read.table(genotype_file, sep="\t", stringsAsFactor=F) |
53 |
-p <- ggtree(beast_tree, mrsd="2013-01-01") + geom_treescale(x=2008, y=1) |
|
54 |
-p <- p + geom_tiplab(size=3) |
|
55 |
-gheatmap(p, genotype, offset = 2, width=0.5) |
|
55 |
+colnames(genotype) <- sub("\\.$", "", colnames(genotype)) |
|
56 |
+p <- ggtree(beast_tree, mrsd="2013-01-01") + geom_treescale(x=2008, y=1, offset=2) |
|
57 |
+p <- p + geom_tiplab(size=2) |
|
58 |
+gheatmap(p, genotype, offset = 5, width=0.5, font.size=3, colnames_angle=-45, hjust=0) + |
|
59 |
+ scale_fill_manual(breaks=c("HuH3N2", "pdm", "trig"), values=c("steelblue", "firebrick", "darkgreen")) |
|
56 | 60 |
``` |
57 | 61 |
|
58 | 62 |
The _width_ parameter is to control the width of the heatmap. It supports another parameter _offset_ for controlling the distance between the tree and the heatmap, for instance to allocate space for tip labels. |
59 | 63 |
|
60 | 64 |
|
61 |
-For time-scaled tree, as in this example, it's more often to use x axis by using `theme_tree2`. But with this solution, the heatmap is just another layer and will change the `x` axis. To overcome this issue, we implemented `scale_x_ggtree` to set the x axis more reasonable. |
|
65 |
+For time-scaled tree, as in this example, it's more often to use x axis by using `theme_tree2`. But with this solution, the heatmap is just another layer and will change the `x` axis. To overcome this issue, we implemented `scale_x_ggtree` to set the x axis more reasonable. |
|
62 | 66 |
|
63 | 67 |
<!-- User can also use `gplot` and tweak the positions of two plot to align properly. --> |
64 | 68 |
|
65 |
-```{r fig.width=20, fig.height=16, fig.align="center", warning=FALSE} |
|
66 |
-p <- ggtree(beast_tree, mrsd="2013-01-01") + geom_tiplab(size=3, align=TRUE) + theme_tree2() |
|
69 |
+ |
|
70 |
+ |
|
71 |
+```{r fig.width=8, fig.height=6, fig.align="center", warning=FALSE} |
|
72 |
+p <- ggtree(beast_tree, mrsd="2013-01-01") + geom_tiplab(size=2, align=TRUE, linesize=.5) + theme_tree2() |
|
67 | 73 |
pp <- (p + scale_y_continuous(expand=c(0, 0.3))) %>% |
68 |
- gheatmap(genotype, offset=4, width=0.5, colnames=FALSE) %>% |
|
74 |
+ gheatmap(genotype, offset=8, width=0.6, colnames=FALSE) %>% |
|
69 | 75 |
scale_x_ggtree() |
70 | 76 |
pp + theme(legend.position="right") |
71 | 77 |
``` |
72 | 78 |
|
79 |
+ |
|
73 | 80 |
# Visualize tree with multiple sequence alignment |
74 | 81 |
|
75 | 82 |
With `msaplot` function, user can visualize multiple sequence alignment with phylogenetic tree, as demonstrated below: |
76 | 83 |
```{r fig.width=8, fig.height=12, fig.align='center'} |
77 | 84 |
fasta <- system.file("examples/FluA_H3_AA.fas", package="ggtree") |
78 |
-msaplot(ggtree(beast_tree), fasta) |
|
85 |
+msaplot(ggtree(beast_tree), fasta) |
|
79 | 86 |
``` |
80 | 87 |
|
81 | 88 |
A specific slice of the alignment can also be displayed by specific _window_ parameter. |