COMMunication<br />RESearch.NET - c:ms:2024
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2026-04-17T09:56:59+00:00COMMunication<br />RESearch.NET
http://www.commres.net/
http://www.commres.net/_media/wiki/logo.pngtext/html2024-06-11T23:49:13+00:00Anonymous (anonymous@undisclosed.example.com)schedule
http://www.commres.net/c/ms/2024/schedule?rev=1718149753&do=diff
통계에 대한 기초적인 이해
가설과 가설검증
* 가설의 종류와 그 종류에 따른 통계분석법
* z-test
* t-test
* ANOVA
* Factorial ANOVA
* correlation
* regression
* multiple regression
* factor analysistext/html2024-04-16T23:23:09+00:00Anonymous (anonymous@undisclosed.example.com)w07_anova_note
http://www.commres.net/c/ms/2024/w07_anova_note?rev=1713309789&do=diff
ANOVA in R
#
# 3 샘플 종류 추출
# A, B, C 학년에 따라서 욕하는 정도가 달라질것이라는
# 가설
set.seed(201)
ss <- 16
rnorm2 <- function(n,mean,sd){ mean+sd*scale(rnorm(n)) }
A <- rnorm2(ss, 26, sqrt(600/15))
B <- rnorm2(ss, 24, sqrt(750/15))
C <- rnorm2(ss, 19, sqrt(900/15))
A <- c(A)
B <- c(B)
C <- c(C)
A
B
C
# 평균구하기
mean(A)
mean(B)
mean(C)
# just checking
var(A)
var(B)
var(C)
# 각 그룹의 SS값은?
# 3 샘플을 합치기
# 두번재 컬럼 = group A, B, C 가 되도록
comb3 <- stack(list(a=A, b=B, c=C))
comb3
colnames(comb3)[1] <- "values"
colnames(…