Lecture 2: Descriptive Statistics and Exploratory Data ...
•Calculating descriptive statistics in R •Creating graphs for different types of data (histograms, boxplots, scatterplots) •Useful R commands for working with multivariate data (apply and its derivatives) •Basic clustering and PCA analysis
Download Lecture 2: Descriptive Statistics and Exploratory Data ...
Information
Domain:
Source:
Link to this page:
Documents from same domain
Lecture 10: Multiple Testing - UW Genome Sciences
www.gs.washington.eduWhy Multiple Testing Matters Genomics = Lots of Data = Lots of Hypothesis Tests A typical microarray experiment might result in performing 10000 separate hypothesis tests.
DNA Isolation from Strawberries
www.gs.washington.edusource for extracting DNA because they are easy to pulverize and contain enzymes called pectinases and cellulases that help to break down cell walls. And most important, strawberries have eight copies of each chromosome (they are octoploid), so there is a lot of DNA to isolate. The purpose of each ingredient in the procedure is as follows:
Lecture 10: Multiple Testing
www.gs.washington.eduFalse Discovery Rate m 0 m-m 0 m V S R Called Significant U T m - R Not Called Significant True True Total Null Alternative V = # Type I errors [false positives] •False discovery rate (FDR) is designed to control the proportion of false positives among the set of rejected hypotheses (R)
Lecture 7: Hypothesis Testing and ANOVA
www.gs.washington.edu•Calculate a test statistic in the sample data that is ... candidate gene. We then divide these N individuals into ... Sum of MS F Squares Source of df Variation! SST G k"1! SST E N"k! SST G k"1 SST E N"k. Non-Parametric Alternative • Kruskal-Wallis …
Lecture 4: Random Variables and Distributions
www.gs.washington.edu•Before data is collected, we regard observations as random variables (X 1,X 2,…,X n) •This implies that until data is collected, any function (statistic) of the observations (mean, sd, etc.) is also a random variable •Thus, any statistic, because it is a random variable, has a probability distribution - referred to as a sampling ...
I-9 Form: Instructions for Nonresident on H-1B or TN Visa
www.gs.washington.eduI-9 Form: Instructions for Nonresident on H-1B or TN visa Instructions for both New Hires and Updating & Reverification For more detailed information about completing Form I-9, employers and employees should refer to the Handbook for Employers: Instructions for Completing Form I-9 (M-274). _____
Lecture 5: Estimation - University of Washington
www.gs.washington.eduBayesian Estimation: ÒSimpleÓ Example ¥I want to estimate the recombination fraction between locus A and B from 5 heterozygous (AaBb) parents. I examine 30 gametes for each and observe 4, 3, 5, 6, and 7 recombinant gametes in the Þve parents. What is the mle of the recombination fraction? ¥Tedious to show Bayesian analysis. LetÕs simplify ...
Lecture 9: Linear Regression - University of Washington
www.gs.washington.eduLecture 9: Linear Regression. Goals • Linear regression in R •Estimating parameters and hypothesis testing ... •Previous coding would result in colinearity •Solution is to set up a series of dummy variable. In general for k levels you need k-1 dummy variables x 1 …
1. Plasmid structure 2. Plasmid replication and copy ...
www.gs.washington.eduPlasmid replication requires host DNA replication machinery. 2. Most wild plasmids carry genes needed for transfer and copy number ... Large or small region of homologous DNA cloned that will integrate into the chromosomal target. 5. Need a counter selection method to kill the donor cells 6. Screen for what you think is correct.
Related documents
4. Introduction to Statistics Descriptive Statistics
cosmologist.infoStatistics for Engineers 4-1 4. Introduction to Statistics Descriptive Statistics Types of data A variate or random variable is a quantity or attribute whose value may vary from one unit of investigation to another. For example, the units might be headache sufferers and
Chapter 1 Descriptive Statistics for Financial Data
faculty.washington.eduFeb 03, 2015 · 1.1.1 Example Data We illustrate the descriptive statistical analysis using daily and monthly ad-justed closing prices on Microsoft stock and the S&P 500 index over the period January 1, 1998 and May 31, 2012. 1 These data are obtained from finance.yahoo.com.Wefirst use the daily and monthly data to illustrate
Descriptive Statistics – Summary Tables
ncss-wpengine.netdna-ssl.com2 Specify the Descriptive Statistics – Summary Tables procedure options • Find and open the Descriptive Statistics – Summary Tables procedure using the menus or the Procedure Navigator. • The settings for this example are listed below and are stored in the Example 1a settings template. To load
Descriptive and Inferential Statistics - PSY 225: Research ...
online225.psych.wisc.eduDescriptive Statistics Descriptive statistics is the term given to the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data. Descriptive statistics do not, however, allow us to make conclusions beyond the data we have analysed or
SPSS: Descriptive and Inferential Statistics
stat.utexas.eduSection 1: Summarizing Data 1.1 Descriptive Statistics A common first step in data analysis is to summarize information about variables in your dataset, such as the averages and variances of variables. Several summary or descriptive statistics are available under the Descriptives option available from the Analyze and Descriptive Statistics menus:
Experimental Design Statistical Analysis of Data
uca.eduExperimental Design: Statistical Analysis of Data Purpose of Statistical Analysis Descriptive Statistics Central Tendency and Variability Measures of Central Tendency Mean Median Mode Measures of Variability Range Variance and standard deviation The Importance of Variability Tables and Graphs Thinking Critically About Everyday Information ...
Types of Data, Descriptive Statistics, and Statistical ...
www.accp.comTypes of Data, Descriptive Statistics, and Statistical Tests for Nominal Data Patrick F. Smith, Pharm.D. University at Buffalo Buffalo, New York ~.. \ 1 NONPARAMETRIC STATISTICS I. DEFINITIONS A. Parametric statistics 1. Variable of interest is a measured quantity. 2. Assumes that the data follow some distribution which can be described by ...
Exploring Data and Descriptive Statistics (using R)
www.princeton.edu# ‘to.data.frame’ return a data frame. # ‘use.value.labels’ Convert variables with value labels into R factors with those levels. # ‘use.missings’ logical: should information on user-defined missing values be used to set the
Related search queries
Statistics Descriptive Statistics, Statistics, Data, Descriptive Statistics, Descriptive statistical, Descriptive and Inferential Statistics, Descriptive Statistics Descriptive statistics, Descriptive, Statistical, Data, Descriptive Statistics, and Statistical, Data, Descriptive Statistics, and Statistical Tests