Publications by Renida Kasa
The Normal Distribution - lab 4
In this lab, you’ll investigate the probability distribution that is most central to statistics: the normal distribution. If you are confident that your data are nearly normal, that opens the door to many powerful statistical methods. Here we’ll use the graphical tools of R to assess the normality of our data and also learn how to generate rand...
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Probability - Lab 3
The Hot Hand Basketball players who make several baskets in succession are described as having a hot hand. Fans and players have long believed in the hot hand phenomenon, which refutes the assumption that each shot is independent of the next. However, a 1985 paper by Gilovich, Vallone, and Tversky collected evidence that contradicted this belief an...
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Eigenshoes
For this assignment, the goal was to use a set of data in the form of 17 different shoe images, and represent the images as matrices. The first set would have the most variance, and the second set would be an eigen-version set of those images, capturing the most essential elements of what makes each of the shoes different. Load all packages librar...
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DATA607 Week 3 Assignment
library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.2 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.2 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0 ## ...
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DATA605 Assignment #3
Problem set 1 What is the rank of the matrix A? A <- matrix(c(1,2,3,4, -1,0,1,3, 0,1,-2,1, 5,4,-2,-3), nrow = 4, ncol = 4,byrow=TRUE) print(A) ## [,1] [,2] [,3] [,4] ## [1,] 1 2 3 4 ## [2,] -1 0 1 3 ## [3,] 0 1 -2 1 ## [4,] 5 4 -2 -3 qr_decomp <- qr(A) ran...
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DATA605 ASSIGNMENT #2
DATA605 ASSIGNMENT #2 Problem Set1 1. Show that (A^T)A =/= (A*A^T) in general. (Proof and demonstration.) Proof: We know that the number of rows in a resulting multiplied matrix equals the number of rows of the first matrix, and the number of columns of the second matrix. Alternatively, if the first matrix, matrix A, is a mxn matrix, and its tra...
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Drug Habits Reported by SAMDHA in 2012
Data Analysis: How Baby Boomers Get High How do baby boomers get high? The answer might shock you! I analyzed data utilized by a fivethirtyeight article titled, “How Baby Boomers Get High”, published in 2015 by Anna Maria Barry-Jester, and Andrew Flowers. You can also check out the article here:http://fivethirtyeight.com/features/how-baby-boom...
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Document
How do certain neurocognitive abilities vary between control, schizophrenic, and schizoaffective groups? DATA EXPLORATION: library(ggplot2) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, ...
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R Bridge Course HW 2
install.packages(CO2) #1 c<-data.frame(CO2) summary(c) ## Plant Type Treatment conc uptake ## Qn1 : 7 Quebec :42 nonchilled:42 Min. : 95 Min. : 7.70 ## Qn2 : 7 Mississippi:42 chilled :42 1st Qu.: 175 1st Qu.:17.90 ## Qn3 : 7 Me...
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R Bridge Course HW1
#1 - Loop for 12! #2 - Vector including 20-50 by 5 x<-seq(20,50,by=5) x ## [1] 20 25 30 35 40 45 50 #3 - Quadratic Formula quadForm=function(a,b,c){ x1=-(b-sqrt(b^2-4*a*c))/(2*a) x2=-(b+sqrt(b^2-4*a*c))/(2*a) return(c(x1,x2)) } quadForm(1,2,1) ## [1] -1 -1 quadForm(1,6,5) ## [1] -1 -5 quadForm(1,1,1) ## Warning in sqrt(b^2 - 4 * a * c): NaNs produc...
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