Publications by Ian Duhaylungsod
STAT 56 - MIDTERM EXAM
# Import the data library(readxl) PCAdata <- read_excel("D:/COLLEGE 4TH YEAR/2nd SEMESTER/STAT 56 MULTIVARIATE ANALYSIS/MIDTERM/PCAdata.xlsx") paged_table(PCAdata) 1. Provide the output of the standardized data (just the first 10 rows). standardized <- as.data.frame(scale(PCAdata[2:10])) paged_table(standardized) 2. Provide the correlation ...
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STAT 56 - Additional Activity for Factor Analysis
Data Overview # Dataset library(base) places <- read.table("C:/Users/63906/Downloads/places.txt") paged_table(places) Describing the data A <- describe(places) paged_table(A) Use the dim function to retrieve the dimension of the dataset. dim(places) [1] 329 10 Cleaning data In our data frame, we have a V10 variable in the last column. So, ...
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STAT 56 - ACTIVITY 2
We will use the Places Rated Almanac data (Boyer and Savageau) which rates 329 communities according to nine criteria: 1. Climate and Terrain 2. Housing 3. Health Care & Environment 4. Crime 5. Transportation 6. Education 7. The Arts 8. Recreation 9. Economics Principal Component Analysis library(base) places <- read.table("C:/Users/639...
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STAT 56 - ACTIVITY 1 Using R for Multivariate Analysis
Using R for Multivariate Analysis Reading Multivariate Analysis Data into R wine <- read.table("http://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data", sep=",") wine Plotting Multivariate Data A Matrix Scatterplot a<-wine[2:6] paged_table(a) scatterplotMatrix(wine[2:6]) A Scatterplot with the Data Points Labelled...
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Exercise 2 (Jica Data) - STAT 55
Data ## Warning: package 'tidyverse' was built under R version 4.2.1 ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4 ## ✔ tibble 3.1.7 ✔ dplyr 1.0.9 ## ✔ tidyr 1.2....
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Exercise 3 (Paired t-test) - STAT 55
ICT training data First, create before and after as objects containing the scores of ICT training. before <- c(12.2, 14.6, 13.4, 11.2, 12.7, 10.4, 15.8, 13.9, 9.5, 14.2) after <- c(13.5, 15.2, 13.6, 12.8, 13.7, 11.3, 16.5, 13.4, 8.7, 14.6) Now, create a data matrix using data.frame() function. Use objects before and after as created earlier to...
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Exercise 4 (Checking of Assumptions using T-test) - STAT 55
There are different types of tests that can be utilized to assess the equality of variances. F-test:- Used for two groups variance comparison. Data must be normally distributed. Bartlett’s test:- Used for two or more groups variance comparison. Data must be normally distributed. Levene’s test:- An alternative to Bartlett’s test for non...
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EXERCISE 5 (One-way ANOVA) - STAT 55
We’ll use the PlantGrowth data set that comes with R. It provides the weight of plants produced under two distinct treatment conditions and a control condition. data <- PlantGrowth We utilize the function sample n() [in the dplyr package] to get a sense of how the data looks. set.seed(123) dplyr::sample_n(data, 10) weight group 1 5.8...
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MIDTERM EXAM IN EXPERIMENTAL DESIGN
Question 1: A COVID frontliner wants to estimate the average amount that a resident in Maramag would donate to COVID affected families in Maramag. Twenty residents were randomly selected from the Municipality of Maramag. The 20 randomly residents were contacted by telephone and asked how much they would be willing to donate. Their responses a...
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MIDTERM EXAM IN EXPERIMENTAL DESIGN
Question 1: A COVID frontliner wants to estimate the average amount that a resident in Maramag would donate to COVID affected families in Maramag. Twenty residents were randomly selected from the Municipality of Maramag. The 20 randomly residents were contacted by telephone and asked how much they would be willing to donate. Their responses a...
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