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Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.
2
votes
0
answers
140
views
How does the smoothing lambda is calculated in quantreg::rqss?
I have been working with quantreg::rqss() function for non-parametric quantile regression in R (documentation is here). …
3
votes
1
answer
330
views
How to calculate uncertainty in the sum of the predictions
I am using dummy data to ask my question:
I have a linear model y~x.
library(tidyverse)
library(ggpubr)
theme_set(theme_pubr())
model <- lm(sales ~ youtube, data = marketing)
Let's assume I am predic …
2
votes
0
answers
158
views
Longitudinal CFA How to build configural model?
I have 12 survey questions (Qs) that were asked during pre- and post-term survey. So I want to do the longitudinal CFA to see whether there was a difference between factor models for pre/post-term sur …
2
votes
1
answer
4k
views
making multivariate GAM model [closed]
I want to model the dependence of Anad B based on two variables c and H:
fmla=Y~s(c)+s(H)
library("mgcv", lib.loc="C:/Program Files/R/R-3.4.1/library")
And I want to fit it with GAM model
gam(fmla) …
0
votes
1
answer
29
views
How to compare GAIC of linear model and other GLMS?
my dataset can be found here:
https://raw.githubusercontent.com/yuliaUU/test/main/test.csv
library(gamlss)
library(tidyverse)
data_final<- read_csv("test.csv")
# Normal model with log transformation …
0
votes
Accepted
How to compare GAIC of linear model and other GLMS?
# Model 1: Log-transformed response with lm()
model_1 <- lm(log(Abundance) ~ salinity * avrg_dep, data = data_final)
# Calculate log-likelihood of the model
logL <- logLik(model_1)
# Adjust the log- …
1
vote
1
answer
724
views
Pairwise Effect size for Dunns Test
I am using ggsttaplot - I am curious how to get effect size for each pair:
# install.packages("tidyverse") # for everything ;)
library(tidyverse)
# install.packages("ISLR")
library(ISLR)
# install. …
2
votes
1
answer
1k
views
CFA: should I remove highly correlated items?
I want to Run CFA model (N=400), but I have a question about the correlation between items. I know I should have high correlation between items that make up one factor (cor>.3). I have two factors Anx …
0
votes
1
answer
1k
views
Is Bonferroni correction needed for paired t-test on grouped data?
I have a survey that was conducted in 3 different classes ( math, phys, bio) at the beginning and at the end of the semester ( pre and post). In the survey, there were 3 groups of questions (A, B, C) …
4
votes
1
answer
2k
views
Choosing a nonlinear model: GAM?
I have the response variable that is an abundance matrix Y. for example, I have four columns with
species 1
species 2
species 3
and species 4
abundances at each location (each location is separate …
1
vote
2
answers
1k
views
Paired Samples T-Test Assumptions with Ordinal Categorical Data
I would like to check with CrossValidated community whether I interpret the assumptions that are needed to be tested for paired t-test correctly. My questions primarily arise from working with a group …