Differences

This shows you the differences between two versions of the page.

--- anova [2020/05/20 15:36] – [Example] hkimscil
+++ anova [2020/05/20 15:51] – [Example 2] hkimscil
@@ Line 580: / Line 580: @@
 F<sub>cal</sub> > F<sub>crit</sub> 이므로 3집단 간의 평균은 통계학적으로 의미가 있는 차이를 가지고 있다.
 ====== Example 2 ======
-<code>x1 <- c(15, 20, 14, 13, 18, 16, 13, 12, 18, 41)
+<code>
+x1 <- c(15, 20, 14, 13, 18, 16, 13, 12, 18, 41)
 x2 <- c(21, 25, 29, 18, 26, 22, 26, 24, 28, 21)
 x3 <- c(28, 30, 32, 28, 26, 30, 25, 36, 20, 15)
 </code>
-<code>> data.frame(x1,x2,x3)
+<code>> xc <- data.frame(x1,x2,x3)
    x1 x2 x3
   15 21 28
@@ Line 634: / Line 635: @@
 <code>
-> colnames(xs[1]) <- "wrong"
+> colnames(xs)  <- c("wrong", "condition")
-> colnames(xs[2]) <- "cond"
 </code>
-<code># cf
+<code>
+# cf
 # lengthofelements <- length(x1)
 # varofvariable <- var(x1)</code>
 <code>
-df_x1
+df.total <- length(xs$wrong) - 1
-df_x2
+ss.total <- var(xs$wrong)*df_tot
-df_x3
+var.total <- ss.total/df.total
+var.total.r <- var(xs$wrong)
-ss_x1
+df.x1 <- length(x1)-1
-ss_x2
+df.x2 <- length(x2)-1
-ss_x3
+df.x3 <- length(x3)-1
+ss.x1 <- var(x1)*df.x1
+ss.x2 <- var(x2)*df.x2
+ss.x3 <- var(x3)*df.x3
-df_bet
+ss.within <- ss.x1 + ss.x2 + ss.x3
-ss_bet
+df.within <- df.x1 + df.x2 + df.x3
+ss.between <- ss.total - ss.within
+df.between <- df.total - df.within
-df_tot
+ms.between <- ss.between/df.between
-ss_tot
+ms.within <- ss.within/df.within
+f.value <- ms.between/ms.within
-df_with
+ss.between
-ss_with
+df.between
-df_bet
+ss.within
-ss_bet
+df.within
-</code>
+ms.between
+ms.within
+f.value
-<code>
-df_tot <- length(xs$ind) - 1
-ss_tot <- var(xs$values)*df_tot
-var_tot <- var(xs$values)
-df_x1 <- length(x1)-1
-df_x2 <- length(x2)-1
-df_x3 <- length(x3)-1
-ss_x1 <- var(x1)*df_x1
-ss_x2 <- var(x2)*df_x2
-ss_x3 <- var(x3)*df_x3
 </code>
 ====== E.G. 1 (R) ======