Walrus Package
Posted: Wed Oct 06, 2021 2:38 am
HI All,
Thanks for porting the Walrus package to Jamovi from R.
I have a few questions/requests that I wondered if someone might know the answer to:
Robust one-way ANOVA with trimmed means does not seem to provide the df in the Robust ANOVA table, nor the explanatory measure of effect size as the WRS2 package does in R. I'm not that worried about the effect size, but the DF probably should be reported with the F statistic. Is there are reason for this that I'm missing?
Example below:
Jamovi syntax
walrus::ranova(
data = data,
dep = HEIGHT,
factors = COHORT,
ph = TRUE)
Yields:
#
# Robust ANOVA
# ─────────────────────────────
# F p
# ─────────────────────────────
# COHORT 5.349 0.0032
# ─────────────────────────────
# Note. Method of trimmed
# means, trim level 0.2
#
The same analysis using the WRS2 package in R gives me:
R output
#Call: t1way(formula = HEIGHT ~ COHORT, data = ON_DATA)
#
#Test statistic: F = 5.5156
#Degrees of freedom 1: 3
#Degrees of freedom 2: 43.39
#p-value: 0.00268
#
#Explanatory measure of effect size: 0.35
#Bootstrap CI: [0.13; 0.69]
The DF 1 and 2, as well as the explanatory measures of effect size are missing from the Jamovi output.
Is this a functional limitation or something that can be implemented for consistency with R. Sorry if I've made an error, happy to be corrected here.
Regards,
Andy Govus
Thanks for porting the Walrus package to Jamovi from R.
I have a few questions/requests that I wondered if someone might know the answer to:
Robust one-way ANOVA with trimmed means does not seem to provide the df in the Robust ANOVA table, nor the explanatory measure of effect size as the WRS2 package does in R. I'm not that worried about the effect size, but the DF probably should be reported with the F statistic. Is there are reason for this that I'm missing?
Example below:
Jamovi syntax
walrus::ranova(
data = data,
dep = HEIGHT,
factors = COHORT,
ph = TRUE)
Yields:
#
# Robust ANOVA
# ─────────────────────────────
# F p
# ─────────────────────────────
# COHORT 5.349 0.0032
# ─────────────────────────────
# Note. Method of trimmed
# means, trim level 0.2
#
The same analysis using the WRS2 package in R gives me:
R output
#Call: t1way(formula = HEIGHT ~ COHORT, data = ON_DATA)
#
#Test statistic: F = 5.5156
#Degrees of freedom 1: 3
#Degrees of freedom 2: 43.39
#p-value: 0.00268
#
#Explanatory measure of effect size: 0.35
#Bootstrap CI: [0.13; 0.69]
The DF 1 and 2, as well as the explanatory measures of effect size are missing from the Jamovi output.
Is this a functional limitation or something that can be implemented for consistency with R. Sorry if I've made an error, happy to be corrected here.
Regards,
Andy Govus