October 2017
Intermediate to advanced
480 pages
9h 49m
Japanese
Content preview from Rではじめるデータサイエンス
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15.5
関数の引数
247
4. 次の入れ子
if-else
文を簡単にするためには、
cut()
をどう使えばよいか。
if (temp <= 0) {
"freezing"
} else if (temp <= 10) {
"cold"
} else if (temp <= 20) {
"cool"
} else if (temp <= 30) {
"warm"
} else {
"hot"
}
<=
の代わりに
<
を使ったら、
cut()
の呼び出しはどう変わるか。この問題で
cut()
を使う別の利
点は何か（ヒント：
temp
に複数の値があるとどうなるか）。
5. 数値に
switch()
を使うとどうなるか。
6. 次の
switch()
呼び出しは何をしているか。
x
が"e"ならどうなるか。
switch(x,
a = ,
b = "ab",
c = ,
d = "cd"
)
実験してから、ドキュメントを注意して読みなさい。
15.5
関数の引数
関数の引数は大別して次の2 種類になります。1 つは計算するデータで、もう1 つは計算の詳細を
制御します。例えば次のようになります。
●
log()
では、データが
x
、詳細が対数の底
base
。
●
mean()
では、データが
x
、詳細がどれだけのデータを足切りするか（
trim)
と欠損値の扱い（
na.
rm)
。
●
t.test()
で は、デ ー タ が
x
と
y
、 検 定 の 詳 細 が
alternative
,
mu
,
paired
,
var.equal
,
conf.
level
。
●
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.