Publications by Ziwei Ma
Gait data analysis
Descriptive analysis Load data cf4 <- read.csv("cf4.txt", sep="") #cf4 = do.call(rbind.data.frame, cf4) df <- data.frame(matrix(unlist(cf4), nrow=2789, byrow=TRUE)) colnames(df) = names(cf4) head(df) ## rt.uaw rt.uax rt.uay rt.uaz rt.faw rt.fax rt.fay rt.faz rt.thw ## 1 -0.7614 -0.7614 -0.7614 -0.7614 -0.7604 -0.7604 -0.7604 -0....
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Lecture 3
class: center, middle, inverse, title-slide # MATH 4140/5140 ## Lecture 3: Introduction and Review (continued) ### Ziwei Ma ### UTC ### updated: 2022-01-19 --- class: inverse, center, mid # Probability theory review --- ## Function of Random Variables - Method of Distribution Function - The Method of Transformations - The Meth...
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Lecture 3
class: center, middle, inverse, title-slide # MATH 4140/5140 ## Lecture 3: Introduction and Review (continued) ### Ziwei Ma ### UTC ### updated: 2022-01-14 --- class: inverse, center, mid # Probability theory review --- ## Function of Random Variables - Method of Distribution Function - The Method of Transformations - The Meth...
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Lecture 3
class: center, middle, inverse, title-slide # MATH 4140/5140 ## Lecture 3: Introduction and Review (continued) ### Ziwei Ma ### UTC ### updated: 2022-01-14 --- class: inverse, center, mid # Probability theory review --- ## Function of Random Variables - Method of Distribution Function - The Method of Transformations - The Meth...
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Mathematical statistics - Lecture 1
class: center, middle, inverse, title-slide # MATH 4140/5140 ## Lecture 1: Introduction and Review ### Ziwei Ma ### UTC ### updated: 2022-01-09 --- class: inverse, center, mid # Introduction --- ## What is statistics? - infrerence from data - building models of the world - optimal prediction -- ## What is "mathematical" st...
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Mathematical statistics - Lecture 1
class: center, middle, inverse, title-slide # MATH 4140/5140 ## Lecture 1: Introduction and Review ### Ziwei Ma ### UTC ### updated: 2022-01-08 --- class: inverse, center, mid # Introduction --- ## What is statistics? - infrerence from data - building models of the world - optimal prediction -- ## What is "mathematical" st...
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Document
Outline of the course Chapter 1. What is Statistics Chapter 1. What is Statistics Chapter 1. Population and Sample Chapter 1. Type of Measurements (data) Categorical data and Numerical data Chapter 1. Type of Measurements (data) Level of measurements Data never sleep Characterizing a set of measurements Table and Graphical methods ## Char...
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Document
class: center, middle, inverse, title-slide # MATH 4140/5140 ## Simple Logistic Regression ### Ziwei Ma ### UTC ### updated: 2022-04-27 --- ### Logistic regression example > **Election** Suppose that we are interested in the group membership of a hurricane, either tropical or non-tropical, based on the latitude of formation. ``` ...
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Accuracy analysis
Accuracy results The following table lists the results from Table 2. library(reactable) library(readr) # load data accu <- read_csv("C:/Users/djd955/Downloads/yifan.csv") ## New names: ## * `` -> ...2 ## * `` -> ...3 ## * `` -> ...4 ## * `` -> ...5 ## * `` -> ...6 ## * ... ## Rows: 28 Columns: 10 ## -- Column specification -------------...
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