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
|
#
# ~/.Rprofile
# configuration for R session
#
# Aaron LI
# Created: 2015-08-20
# Updated: 2016-06-25
#
# set common options
options(papersize="a4")
# change the prompt format
options(prompt="R> ")
# set the default CRAN mirror
local({
r <- getOption("repos")
r["CRAN"] <- "https://cran.r-project.org"
#r["CRAN"] <- "https://cran.rstudio.com"
#r["CRAN"] <- "https://mirrors.ustc.edu.cn/CRAN"
options(repos=r)
})
# "Vim-R-plugin" related settings
# http://www.lepem.ufc.br/jaa/r-plugin.html
# Note to start Vim with: ``vim --severname VIM``
if (interactive()) {
# Colorize the R output.
# http://www.lepem.ufc.br/jaa/colorout.html
# https://github.com/jalvesaq/colorout
require(colorout)
# Adjust the value of options("width") whenever the terminal is resized.
require(setwidth)
# "vimcom" creates a server on R to allow the communication with Vim
# through the "Vim-R-plugin"
# http://www.lepem.ufc.br/jaa/vimcom.html
#options(vimcom.verbose=1)
#require(vimcom)
}
# skewness
skew <- function(x, na.rm=FALSE) {
if (na.rm) {
x <- x[!is.na(x)]
}
n <- length(x)
m <- mean(x)
s <- sd(x)
skew <- sum((x-m)^3 / s^3) / n
return(skew)
}
# kurtosis
kurt <- function(x, na.rm=FALSE) {
if (na.rm) {
x <- x[!is.na(x)]
}
n <- length(x)
m <- mean(x)
s <- sd(x)
kurt <- sum((x-m)^4 / s^4) / n - 3
return(kurt)
}
# IQR mean: mean value of the elements within the interquantile range
# IQR: 25% - 75%
mean.iqr <- function(x, na.rm=TRUE) {
if (na.rm) {
x <- x[!is.na(x)]
}
x.sorted <- sort(x)
n <- length(x.sorted)
idx.quantile.bottom <- 1 + floor(n * 0.25)
idx.quantile.top <- n - floor(n * 0.25)
m.iqr <- mean(x.sorted[idx.quantile.bottom:idx.quantile.top])
return(m.iqr)
}
# Tricks to manage the available memory in an R session
# http://stackoverflow.com/q/1358003/4856091
.ls.objects <- function(pos=1, pattern, order.by,
decreasing=FALSE, pretty.size=FALSE,
head=FALSE, n=10) {
napply <- function(names, fn) {
sapply(names, function(x) fn(get(x, pos=pos)))
}
names <- ls(pos=pos, pattern=pattern)
obj.class <- napply(names, function(x) as.character(class(x))[1])
obj.mode <- napply(names, mode)
obj.type <- ifelse(is.na(obj.class), obj.mode, obj.class)
obj.size.bytes <- napply(names, object.size)
if (pretty.size) {
obj.size <- napply(names, function(x) {
format(object.size(x), units="auto")
})
} else {
obj.size <- obj.size.bytes
}
obj.dim <- t(napply(names, function(x) as.numeric(dim(x))[1:2]))
vec <- is.na(obj.dim)[, 1] & (obj.type != "function")
obj.dim[vec, 1] <- napply(names, length)[vec]
out <- data.frame(obj.type, obj.size, obj.dim)
names(out) <- c("Type", "Size", "Rows", "Columns")
if (! missing(order.by))
if (order.by == "Size") {
out <- out[order(obj.size.bytes, decreasing=decreasing), ]
} else {
out <- out[order(out[[order.by]], decreasing=decreasing), ]
}
if (head)
out <- head(out, n)
out
}
# shorthand
lsobjs <- function(..., n=10) {
.ls.objects(..., order.by="Size", decreasing=TRUE,
pretty.size=TRUE, head=TRUE, n=n)
}
# .First(): executed when start R session
#.First <- function() {
# cat("\nWelcome to R ~~~ (", date(), ")\n", sep="")
#}
# .Last(): executed before exit R session
#.Last <- function() {
# cat("\nGoodbye ~~~ (", date(), ")\n", sep="")
#}
# vim: set ts=8 sw=4 tw=0 fenc=utf-8 ft=r: #
|
