Displaying 4 results from an estimated 4 matches for "efe_r".
2004 May 27
2
ANOVA and contrasts
...interaction.plot(e, r, y, col = 'blue', ylab = 'y', xlab = 'r')
av1 = aov(y ~ r*e)
av2 = aov(y ~ r/e)
efR_E = summary(av2, split = list('r:e' = list('e1 vs e2/r1' = 1, 'e1 vs
e2/r2' = 2, 'e1 vs e2/r3' = 3)))
av3 = aov(y ~ e/r)
efE_R = summary(av3, split = list('e:r' = list('r/e1' = c(1,3), 'r/e2' =
c(2,4))))
# ------------------------------Begin the problem-------------------------
#
# I woud like to compare r/e1 (SS = 87.122 with 2 GL) like this:
# r1 vs (r2,r3 ) / e1
# r2 vs r3 / e1
# And compare r...
2004 May 26
0
R: Help (two-way analysis of variance with contrasts)
...interaction.plot(e, r, y, col = 'blue', ylab = 'y', xlab = 'r')
av1 = aov(y ~ r*e)
av2 = aov(y ~ r/e)
efR_E = summary(av2, split = list('r:e' = list('e1 vs e2/r1' = 1, 'e1 vs
e2/r2' = 2, 'e1 vs e2/r3' = 3)))
av3 = aov(y ~ e/r)
efE_R = summary(av3, split = list('e:r' = list('r/e1' = c(1,3), 'r/e2' =
c(2,4))))
mds = model.tables(av1, ty = 'means')
detach(df)
cat('\nData:'); cat('\n')
print(df)
cat('\nMeans:'); cat('\n')
print(mds)
cat('\nANOVA:'); cat(...
2004 May 26
0
Aid on two-way ANOVA with contrasts
...interaction.plot(e, r, y, col = 'blue', ylab = 'y', xlab = 'r')
av1 = aov(y ~ r*e)
av2 = aov(y ~ r/e)
efR_E = summary(av2, split = list('r:e' = list('e1 vs e2/r1' = 1, 'e1 vs
e2/r2' = 2, 'e1 vs e2/r3' = 3)))
av3 = aov(y ~ e/r)
efE_R = summary(av3, split = list('e:r' = list('r/e1' = c(1,3), 'r/e2' =
c(2,4))))
mds = model.tables(av1, ty = 'means')
detach(df)
cat('\nData:'); cat('\n')
print(df)
cat('\nMeans:'); cat('\n')
print(mds)
cat('\nANOVA:'); cat(...
2004 May 31
0
Doubts on anova and use of contrasts in multcomp package
...r')
av1 = aov(y ~ r*e)
av2 = aov(y ~ r/e)
efR_E = summary(av2, split = list('r:e' = list(
'e1 vs e2/r1' = 1, 'e1 vs e2/r2' = 2,
'e1 vs e2/r3' = 3)))
av3 = aov(y ~ e/r)
efE_R = summary(av3, split = list('e:r' = list(
'r/e1' = c(1,3), 'r/e2' = c(2,4))))
mds = model.tables(av1, ty = 'means')
detach(df)
cat('\nData:'); cat('\n')
print(df)
cat('\nMeans:'); cat('...