Statistical analysis with R essentials for dummies:
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, New Jersey
Wiley
[2024]
|
| Series: | ... for dummies
|
| Online Access: | DE-1050 |
| Physical Description: | 1 Online-Ressource (ix, 180 Seiten) |
| ISBN: | 9781394263448 |
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MARC
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| 100 | 1 | |a Schmuller, Joseph |d 1947- |e Verfasser |0 (DE-588)1041604041 |4 aut | |
| 245 | 1 | 0 | |a Statistical analysis with R essentials for dummies |c by Joseph Schmuller, PhD |
| 264 | 1 | |a Hoboken, New Jersey |b Wiley |c [2024] | |
| 300 | |a 1 Online-Ressource (ix, 180 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a ... for dummies | |
| 505 | 8 | |a Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Where to Go from Here -- Chapter 1 Data, Statistics, and Decisions -- The Statistical (and Related) Notions You Just Have to Know -- Samples and populations -- Variables: Dependent and independent -- Types of data -- A little probability -- Inferential Statistics: Testing Hypotheses -- Null and alternative hypotheses -- Two types of error -- Chapter 2 Introducing R -- Downloading R and RStudio -- A Session with R -- The working directory | |
| 505 | 8 | |a So let's get started, already -- Missing data -- R Functions -- User-Defined Functions -- R Structures -- Vectors -- Numerical vectors -- Matrices -- Factors -- Lists -- Lists and statistics -- Data frames -- Extracting data from a data frame -- for Loops and if Statements -- Chapter 3 Digging Deeper Into R -- Packages -- More on Packages -- R Formulas -- Reading and Writing -- Spreadsheets -- CSV files -- Text files -- Chapter 4 Finding Your Center -- Means: The Lure of Averages -- The Average in R: mean() -- What's your condition? -- Eliminate signs forthwith() | |
| 505 | 8 | |a Medians: Caught in the Middle -- The Median in R: median() -- Statistics à la Mode -- The Mode in R -- Chapter 5 Deviating from the Average -- Measuring Variation -- Averaging squared deviations: Variance and how to calculate it -- Sample variance -- Variance in R -- Back to the Roots: Standard Deviation -- Population standard deviation -- Sample standard deviation -- Standard Deviation in R -- Conditions, Conditions, Conditions . . . -- Chapter 6 Standards, Standings, and Summaries -- Catching Some Zs -- Standard Scores in R -- Where Do You Stand? -- Ranking in R -- Tied scores | |
| 505 | 8 | |a Nth smallest, Nth largest -- Percentiles -- Percent ranks -- Creating Summaries -- How Many? -- The High and the Low -- Summarizing a Data Frame -- Chapter 7 What's Normal? -- Hitting the Curve -- Digging deeper -- Parameters of a normal distribution -- Distributions in R -- Normal density function -- Cumulative density function -- Quantiles of normal distributions -- Random sampling -- A Distinguished Member of the Family -- Chapter 8 The Confidence Game: Estimation -- Understanding Sampling Distributions -- An EXTREMELY Important Idea: The Central Limit Theorem -- Confidence: It Has its Limits! | |
| 505 | 8 | |a Fit to a t -- Chapter 9 One-Sample Hypothesis Testing -- Hypotheses, Tests, and Errors -- Hypothesis Tests and Sampling Distributions -- Catching Some Z's Again -- Z Testing in R -- t for One -- t Testing in R -- Working with t-Distributions -- Chapter 10 Two-Sample Hypothesis Testing -- Hypotheses Built for Two -- Sampling Distributions Revisited -- Applying the central limit theorem -- Zs once more -- Z-testing for two samples in R -- t for Two -- Like Peas in a Pod: Equal Variances -- t-Testing in R -- Working with two vectors -- Working with a data frame and a formula | |
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| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, pbk |z 978-1-394-26342-4 |
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| contents | Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Where to Go from Here -- Chapter 1 Data, Statistics, and Decisions -- The Statistical (and Related) Notions You Just Have to Know -- Samples and populations -- Variables: Dependent and independent -- Types of data -- A little probability -- Inferential Statistics: Testing Hypotheses -- Null and alternative hypotheses -- Two types of error -- Chapter 2 Introducing R -- Downloading R and RStudio -- A Session with R -- The working directory So let's get started, already -- Missing data -- R Functions -- User-Defined Functions -- R Structures -- Vectors -- Numerical vectors -- Matrices -- Factors -- Lists -- Lists and statistics -- Data frames -- Extracting data from a data frame -- for Loops and if Statements -- Chapter 3 Digging Deeper Into R -- Packages -- More on Packages -- R Formulas -- Reading and Writing -- Spreadsheets -- CSV files -- Text files -- Chapter 4 Finding Your Center -- Means: The Lure of Averages -- The Average in R: mean() -- What's your condition? -- Eliminate signs forthwith() Medians: Caught in the Middle -- The Median in R: median() -- Statistics à la Mode -- The Mode in R -- Chapter 5 Deviating from the Average -- Measuring Variation -- Averaging squared deviations: Variance and how to calculate it -- Sample variance -- Variance in R -- Back to the Roots: Standard Deviation -- Population standard deviation -- Sample standard deviation -- Standard Deviation in R -- Conditions, Conditions, Conditions . . . -- Chapter 6 Standards, Standings, and Summaries -- Catching Some Zs -- Standard Scores in R -- Where Do You Stand? -- Ranking in R -- Tied scores Nth smallest, Nth largest -- Percentiles -- Percent ranks -- Creating Summaries -- How Many? -- The High and the Low -- Summarizing a Data Frame -- Chapter 7 What's Normal? -- Hitting the Curve -- Digging deeper -- Parameters of a normal distribution -- Distributions in R -- Normal density function -- Cumulative density function -- Quantiles of normal distributions -- Random sampling -- A Distinguished Member of the Family -- Chapter 8 The Confidence Game: Estimation -- Understanding Sampling Distributions -- An EXTREMELY Important Idea: The Central Limit Theorem -- Confidence: It Has its Limits! Fit to a t -- Chapter 9 One-Sample Hypothesis Testing -- Hypotheses, Tests, and Errors -- Hypothesis Tests and Sampling Distributions -- Catching Some Z's Again -- Z Testing in R -- t for One -- t Testing in R -- Working with t-Distributions -- Chapter 10 Two-Sample Hypothesis Testing -- Hypotheses Built for Two -- Sampling Distributions Revisited -- Applying the central limit theorem -- Zs once more -- Z-testing for two samples in R -- t for Two -- Like Peas in a Pod: Equal Variances -- t-Testing in R -- Working with two vectors -- Working with a data frame and a formula |
| ctrlnum | (OCoLC)1437887990 (DE-599)BVBBV049731435 |
| format | Electronic eBook |
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| id | DE-604.BV049731435 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-20T07:35:21Z |
| institution | BVB |
| isbn | 9781394263448 |
| language | English |
| oclc_num | 1437887990 |
| open_access_boolean | |
| owner | DE-1050 |
| owner_facet | DE-1050 |
| physical | 1 Online-Ressource (ix, 180 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE FHD01_PQE_Kauf |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Wiley |
| record_format | marc |
| series2 | ... for dummies |
| spelling | Schmuller, Joseph 1947- Verfasser (DE-588)1041604041 aut Statistical analysis with R essentials for dummies by Joseph Schmuller, PhD Hoboken, New Jersey Wiley [2024] 1 Online-Ressource (ix, 180 Seiten) txt rdacontent c rdamedia cr rdacarrier ... for dummies Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Where to Go from Here -- Chapter 1 Data, Statistics, and Decisions -- The Statistical (and Related) Notions You Just Have to Know -- Samples and populations -- Variables: Dependent and independent -- Types of data -- A little probability -- Inferential Statistics: Testing Hypotheses -- Null and alternative hypotheses -- Two types of error -- Chapter 2 Introducing R -- Downloading R and RStudio -- A Session with R -- The working directory So let's get started, already -- Missing data -- R Functions -- User-Defined Functions -- R Structures -- Vectors -- Numerical vectors -- Matrices -- Factors -- Lists -- Lists and statistics -- Data frames -- Extracting data from a data frame -- for Loops and if Statements -- Chapter 3 Digging Deeper Into R -- Packages -- More on Packages -- R Formulas -- Reading and Writing -- Spreadsheets -- CSV files -- Text files -- Chapter 4 Finding Your Center -- Means: The Lure of Averages -- The Average in R: mean() -- What's your condition? -- Eliminate signs forthwith() Medians: Caught in the Middle -- The Median in R: median() -- Statistics à la Mode -- The Mode in R -- Chapter 5 Deviating from the Average -- Measuring Variation -- Averaging squared deviations: Variance and how to calculate it -- Sample variance -- Variance in R -- Back to the Roots: Standard Deviation -- Population standard deviation -- Sample standard deviation -- Standard Deviation in R -- Conditions, Conditions, Conditions . . . -- Chapter 6 Standards, Standings, and Summaries -- Catching Some Zs -- Standard Scores in R -- Where Do You Stand? -- Ranking in R -- Tied scores Nth smallest, Nth largest -- Percentiles -- Percent ranks -- Creating Summaries -- How Many? -- The High and the Low -- Summarizing a Data Frame -- Chapter 7 What's Normal? -- Hitting the Curve -- Digging deeper -- Parameters of a normal distribution -- Distributions in R -- Normal density function -- Cumulative density function -- Quantiles of normal distributions -- Random sampling -- A Distinguished Member of the Family -- Chapter 8 The Confidence Game: Estimation -- Understanding Sampling Distributions -- An EXTREMELY Important Idea: The Central Limit Theorem -- Confidence: It Has its Limits! Fit to a t -- Chapter 9 One-Sample Hypothesis Testing -- Hypotheses, Tests, and Errors -- Hypothesis Tests and Sampling Distributions -- Catching Some Z's Again -- Z Testing in R -- t for One -- t Testing in R -- Working with t-Distributions -- Chapter 10 Two-Sample Hypothesis Testing -- Hypotheses Built for Two -- Sampling Distributions Revisited -- Applying the central limit theorem -- Zs once more -- Z-testing for two samples in R -- t for Two -- Like Peas in a Pod: Equal Variances -- t-Testing in R -- Working with two vectors -- Working with a data frame and a formula Erscheint auch als Online-Ausgabe 978-1-394-26343-1 Erscheint auch als Druck-Ausgabe, pbk 978-1-394-26342-4 |
| spellingShingle | Schmuller, Joseph 1947- Statistical analysis with R essentials for dummies Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Where to Go from Here -- Chapter 1 Data, Statistics, and Decisions -- The Statistical (and Related) Notions You Just Have to Know -- Samples and populations -- Variables: Dependent and independent -- Types of data -- A little probability -- Inferential Statistics: Testing Hypotheses -- Null and alternative hypotheses -- Two types of error -- Chapter 2 Introducing R -- Downloading R and RStudio -- A Session with R -- The working directory So let's get started, already -- Missing data -- R Functions -- User-Defined Functions -- R Structures -- Vectors -- Numerical vectors -- Matrices -- Factors -- Lists -- Lists and statistics -- Data frames -- Extracting data from a data frame -- for Loops and if Statements -- Chapter 3 Digging Deeper Into R -- Packages -- More on Packages -- R Formulas -- Reading and Writing -- Spreadsheets -- CSV files -- Text files -- Chapter 4 Finding Your Center -- Means: The Lure of Averages -- The Average in R: mean() -- What's your condition? -- Eliminate signs forthwith() Medians: Caught in the Middle -- The Median in R: median() -- Statistics à la Mode -- The Mode in R -- Chapter 5 Deviating from the Average -- Measuring Variation -- Averaging squared deviations: Variance and how to calculate it -- Sample variance -- Variance in R -- Back to the Roots: Standard Deviation -- Population standard deviation -- Sample standard deviation -- Standard Deviation in R -- Conditions, Conditions, Conditions . . . -- Chapter 6 Standards, Standings, and Summaries -- Catching Some Zs -- Standard Scores in R -- Where Do You Stand? -- Ranking in R -- Tied scores Nth smallest, Nth largest -- Percentiles -- Percent ranks -- Creating Summaries -- How Many? -- The High and the Low -- Summarizing a Data Frame -- Chapter 7 What's Normal? -- Hitting the Curve -- Digging deeper -- Parameters of a normal distribution -- Distributions in R -- Normal density function -- Cumulative density function -- Quantiles of normal distributions -- Random sampling -- A Distinguished Member of the Family -- Chapter 8 The Confidence Game: Estimation -- Understanding Sampling Distributions -- An EXTREMELY Important Idea: The Central Limit Theorem -- Confidence: It Has its Limits! Fit to a t -- Chapter 9 One-Sample Hypothesis Testing -- Hypotheses, Tests, and Errors -- Hypothesis Tests and Sampling Distributions -- Catching Some Z's Again -- Z Testing in R -- t for One -- t Testing in R -- Working with t-Distributions -- Chapter 10 Two-Sample Hypothesis Testing -- Hypotheses Built for Two -- Sampling Distributions Revisited -- Applying the central limit theorem -- Zs once more -- Z-testing for two samples in R -- t for Two -- Like Peas in a Pod: Equal Variances -- t-Testing in R -- Working with two vectors -- Working with a data frame and a formula |
| title | Statistical analysis with R essentials for dummies |
| title_auth | Statistical analysis with R essentials for dummies |
| title_exact_search | Statistical analysis with R essentials for dummies |
| title_full | Statistical analysis with R essentials for dummies by Joseph Schmuller, PhD |
| title_fullStr | Statistical analysis with R essentials for dummies by Joseph Schmuller, PhD |
| title_full_unstemmed | Statistical analysis with R essentials for dummies by Joseph Schmuller, PhD |
| title_short | Statistical analysis with R essentials for dummies |
| title_sort | statistical analysis with r essentials for dummies |
| work_keys_str_mv | AT schmullerjoseph statisticalanalysiswithressentialsfordummies |