Reputation: 47
To remove unused variables, I would like to use local() and gc() functions. But they were of no use to me. So I would like to draw a few Scatter Plots on the same graph for this I used multiplot function. This function takes the list that I create in a {for} cycle.
rm(list=ls())
library(ggplot2)
multiplot <- function(..., plotlist=NULL, file, cols=1, layout=NULL) {
library(grid)
plots <- c(list(...), plotlist)
numPlots = length(plots)
if (is.null(layout)) {
layout <- matrix(seq(1, cols * ceiling(numPlots/cols)), ncol = cols, nrow = ceiling(numPlots/cols))
}
if (numPlots==1) {
print(plots[[1]])
} else {
grid.newpage()
pushViewport(viewport(layout = grid.layout(nrow(layout), ncol(layout))))
for (i in 1:numPlots) {
matchidx <- as.data.frame(which(layout == i, arr.ind = TRUE))
print(plots[[i]], vp = viewport(layout.pos.row = matchidx$row, layout.pos.col = matchidx$col))
}
}
}
scatterList <- list()
ic <- c("multiplot", "scatterList", "ic")
for (i in c("mpg", "disp")) {
for (y in c("hp", "qsec")) {
scattername <- paste(i, y, sep = "_")
scatterList[[scattername]] <- ggplot(mtcars, aes(mtcars[[i]], mtcars[[y]])) + geom_point(alpha = 1/10, colour = "red", size = 3, na.rm = T) + annotate("text", x = c(max(mtcars[[i]], na.rm = T) * 0.5, max(mtcars[[i]], na.rm = T) * 0.5), y = c(max(mtcars[[y]], na.rm = T) * 0.9, max(mtcars[[y]], na.rm = T) * 0.85), label = c(paste("Pearson.Cor = ", round(cor(mtcars[[i]], mtcars[[y]], method="pearson", use="pairwise.complete.obs"), digits=2), sep = ""), paste("Spearman.Cor = ", round(cor(mtcars[[i]], mtcars[[y]], method="spearman", use="pairwise.complete.obs"), digits=2), sep = "")), size=4)
}
}
save(list=ic, file="mtcars_test.RData")
rm(list=ls()[!(ls() %in% ic)])
print(multiplot(plotlist = scatterList, cols = 2, layout = matrix(c(1:4), ncol = 2, nrow = 2, byrow = T)))
After working cycle are variables that I would like to delete: "i", "y", "skattername". I delete, and then I can not draw a graph, since the data in the list "scatterList" are stored as variables.
Please tell me how to fix it: print scatter plots and remove unused variables
Upvotes: 0
Views: 143
Reputation: 108
Probably, ggplot2 created a formula that is linked to i
in the global scope. If you want a local variables, you must use the functional scope:
rm(list=ls())
library(ggplot2)
multiplot <- function(..., plotlist=NULL, file, cols=1, layout=NULL) {
library(grid)
plots <- c(list(...), plotlist)
numPlots = length(plots)
if (is.null(layout)) {
layout <- matrix(seq(1, cols * ceiling(numPlots/cols)), ncol = cols, nrow = ceiling(numPlots/cols))
}
if (numPlots==1) {
print(plots[[1]])
} else {
grid.newpage()
pushViewport(viewport(layout = grid.layout(nrow(layout), ncol(layout))))
for (i in 1:numPlots) {
matchidx <- as.data.frame(which(layout == i, arr.ind = TRUE))
print(plots[[i]], vp = viewport(layout.pos.row = matchidx$row, layout.pos.col = matchidx$col))
}
}
}
scatterList <- list()
ic <- c("multiplot", "scatterList", "ic")
fx <- function() {
for (ix in c("mpg", "disp")) {
for (y in c("hp", "qsec")) {
scattername <- paste(ix, y, sep = "_")
scatterList[[scattername]] <- ggplot(mtcars, aes(mtcars[[ix]], mtcars[[y]])) +
geom_point(alpha = 1/10, colour = "red", size = 3, na.rm = T) +
annotate("text", x = c(max(mtcars[[ix]], na.rm = T) * 0.5, max(mtcars[[ix]], na.rm = T) * 0.5),
y = c(max(mtcars[[y]], na.rm = T) * 0.9, max(mtcars[[y]], na.rm = T) * 0.85),
label = c(paste("Pearson.Cor = ", round(cor(mtcars[[ix]], mtcars[[y]], method="pearson", use="pairwise.complete.obs"), digits=2), sep = ""), paste("Spearman.Cor = ", round(cor(mtcars[[ix]], mtcars[[y]], method="spearman", use="pairwise.complete.obs"), digits=2), sep = "")), size=4)
}
}
scatterList
}
scatterList <- fx()
save(list=ic, file="mtcars_test.RData")
rm(list=ls()[!(ls() %in% ic)])
print(multiplot(plotlist = scatterList, cols = 2, layout = matrix(c(1:4), ncol = 2, nrow = 2, byrow = T)))
Also you can use scatterList <- local({})
or scatterList<- (function(){})()
Upvotes: 1