Publications by Laboratory Exercise No. 5
Creating Slide Presentation Using Quarto
Creating Slide Presentations using Quarto An Introduction Norberto E. Milla, Jr. Prerequisites The following applications must already be installed in your machines. R RStudio Quarto Slide background You can add background to individual slides Just add the following in the slide header {background-image=background.png} Or to the entire sli...
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Success in Statistics: Position Yourself for the Future
. The Explosion of BIG Data manage explore present interpret The Importance of Statistics Today SEM growth in research applications Skills Set Needed for a Successful Statistician Technical SkillsAnalytical ThinkingCommunication Skills Statistical Knowledge Probability and statistical inference, multivariate analysis, time series analysis C...
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Analysis of Experiments with Repeated Measures
Introduction same variable is measured more than once on the same unit (plant, animal, student) simplest form: pre-test and post-test design the measurements are not independent and violates one of the statistical assumptions ANOVA for repeated measurements the resulting data for each unit constitute a time series (autocorrelation) One of th...
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Checking Assumptions of the Analysis of Variance using R
Loading required packages library(readxl) library(tidyverse) library(ExpDes) library(agricolae) library(afex) library(performance) library(nortest) library(ggpubr) Importing data crop_yield <- read_excel("chap4demo.xlsx") head(crop_yield) ## # A tibble: 6 × 3 ## trt fertilizer yield ## <chr> <dbl> <dbl> ## 1 T1 0...
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Statistical Tools and Methods for Data Analysis
Loading libraries library(readxl) library(ExpDes) library(tidyverse) library(ggstatsplot) library(ISLR) library(patchwork) library(emmeans) library(multcomp) library(multcompView) library(ggpubr) library(rstatix) library(Hmisc) library(GGally) Analysis of Experiments in RCBD Importing the data (Make sure to set the appropriate working...
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Statistical Analysis of Experiments Using R and RStudio
Loading libraries library(readxl) library(ExpDes) library(tidyverse) #library(ggstatsplot) library(ISLR) library(patchwork) library(emmeans) library(multcomp) Analysis of Experiments in RCBD Importing the data (Make sure to set the appropriate working directory) agrondata <- read_excel("agrondata.xlsx") head(agrondata) #displays the 1st ...
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Stat 142 SARIMA Models
Introduction So far, we have restricted our attention to non-seasonal data and non-seasonal ARIMA models. However, ARIMA models are also capable of modelling a wide range of seasonal data. A seasonal ARIMA model is formed by including additional seasonal terms in the ARIMA models we have seen so far. It is written as follows: \[ SARIMA\;\;\;\u...
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Stat 142 ARIMA Models
Introduction In the previous lecture we learned how a regression model can capture trend and seasonality In this chapter we are going to learn how a regression model can be used to quantify the correlation between neighboring values in a time series (called autocorrelation) This type of model, called an autoregressive (AR) model, is useful for...
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Stat 136 Lesson 2.3 (Bayesian Inference for the Poisson Mean)
Table of contents Review: The Poisson Distribution Bayesian Inference for the Poisson Mean Using Discrete Prior Bayesian Inference for the Poisson Mean Using Continuous Prior An Example Stat 136 (Bayesian Statistics) Lesson 2.3: Bayesian Inference for the Poisson Mean Author Norberto E. Milla, Jr. Published February 11, 2024 Review: The Po...
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Stat 141 Analysis of Covariance
Quick review Nuisance factor- factor that may have an effect on the response variable but of not an interest to the researcher Unknown and uncontrollable- randomization balances out its impact across the experiment Known and controllable- blocking or grouping of the experimental units using the nuisance factor as grouping variable Known but u...
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