[大數據分析]深入淺出地教你用分析軟件R-Studio

科學怪人

374 回覆
149 Like 2 Dislike
太he 2020-03-12 19:04:52
應該話, for ML 呢啲IT field 既, Python 必選. R replace 唔到.
鐘意屌臭雞 2020-03-13 00:47:20
Lm
姓無名氏 2020-03-13 20:12:00
down做csv
read.csv(file_name)
Mudgoar 2020-03-17 08:46:14
話說可以download "swirl" 呢個package 去學
傳教士谷哥 2020-03-19 11:54:02
超級新手lm

想整table of result 都唔識用R markdown
我愛鬼妹 2020-03-31 02:49:40
我想問有左 sample mean estimate, SD, 同 sample size (n) 點樣倒後整返個dummy dataset出黎會有返呢D特性
算子代數 2020-03-31 10:13:16
I think you need to specify a probability distribution and then R can generate random samples from the distribution.
我愛鬼妹 2020-03-31 11:29:16
how 🥺 please shed some insights, no need to write full codes.
算子代數 2020-03-31 11:42:45
Let n, mu_0, s_0 be your sample size, sample mean and sample SD respectively.
Generate first n samples from, say, Normal(0, 1) distribution, call them {x_i}. Let mu and s be the sample mean and sample SD of {x_i} respectively. Then the sample mean and SD of {(x_i - mu) / s} would be 0 and 1 respectively. Finally let y_i = sqrt(s_0) (x_i - mu) / s + mu_0. Such {y_i} would have sample mean mu_0 and sample SD s_0.
算子代數 2020-03-31 11:46:50
typo, it should be: y_i = s_0 (x_i - mu) / s + mu_0
as s_0 is SD
憤青一名 2020-03-31 12:03:51
都想知,見到好多paper都話用R。
因為個lab冇人識coding,我就只識java javascript,目前都係用Java javascript implement d 有用的,但感覺好辛苦。
我愛鬼妹 2020-03-31 13:23:25
Thx, let me try try
祝你好人有好報
老卡拉馬佐夫 2020-04-01 21:02:39
%>%
點解
青色衣服 2020-04-02 15:24:07
可唔可以互換tg,我好需要你幫我,@bb88haha
100歲(升仙) 2020-04-06 01:39:01
好多唔識想請教樓主
tg: hellomyfrienddd
碌尻會磨損 2020-04-07 10:34:41
想問呢個同matlab又有冇好大分別
跳跳虎咩咩叫 2020-04-08 10:01:28
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N_Sequitor 2020-04-11 02:18:29
神帖留名
梁羮 2020-04-11 02:29:19
LM
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