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図書

図書
Peter Dalgaard [著] ; 岡田昌史監訳
出版情報: 東京 : 丸善出版, 2017.1  xiii, 328p ; 26cm
所蔵情報: loading…
目次情報: 続きを見る
基礎
R環境
確率と分布
記述統計とグラフ
1標本または2標本の検定—t検定およびWillcoxon検定
回帰と相関
分散分析とKruskal‐Wallis検定
分割表データ
検出力および標本の大きさの計算
一歩進んだデータハンドリング
重回帰分析
線形モデル
ロジスティック回帰分析
生存分析
率とポアソン回帰
非線形曲線のあてはめ
基礎
R環境
確率と分布
概要: フリーソフトRを使った医療統計解析の入門書。統計学を使う医学・薬学・生物学系の学生・研究者に向けて、基本を解説。医学・生物学分野から多くの実例をとっており、統計学的な視点からの注意点もあるため、端的に統計学的手法を理解することができる。もち ろん、本文で紹介するコード・図版は、すべてRで実行可能である。原書2版では、初学者がつまづくデータの扱い方、統計学的手法の普及に伴い必要となった高度な解析手法などを大幅に加筆。最新のバージョン進化に合わせたストレスにならない解説を行う。 続きを見る
2.

図書

図書
Peter Dalgaard
出版情報: New York, NY : Springer, c2002  xv, 267 p. ; 24 cm
シリーズ名: Statistics and computing
所蔵情報: loading…
目次情報: 続きを見る
Preface
Basics / 1:
First steps / 1.1:
An overgrown calculator / 1.1.1:
Assignments / 1.1.2:
Vectorized arithmetic / 1.1.3:
Standard procedures / 1.1.4:
Graphics / 1.1.5:
R language essentials / 1.2:
Expressions and objects / 1.2.1:
Functions and arguments / 1.2.2:
Vectors / 1.2.3:
Missing values / 1.2.4:
Functions that create vectors / 1.2.5:
Matrices and arrays / 1.2.6:
Factors / 1.2.7:
Lists / 1.2.8:
Data frames / 1.2.9:
Indexing / 1.2.10:
Conditional selection / 1.2.11:
Indexing of data frames / 1.2.12:
subset and transform / 1.2.13:
Grouped data and data frames / 1.2.14:
Sorting / 1.2.15:
Implicit loops / 1.2.16:
The graphics subsystem / 1.3:
Plot layout / 1.3.1:
Building a plot from pieces / 1.3.2:
Using par / 1.3.3:
Combining plots / 1.3.4:
R programming / 1.4:
Flow control / 1.4.1:
Classes and generic functions / 1.4.2:
Session management / 1.5:
The workspace / 1.5.1:
Getting help / 1.5.2:
Packages / 1.5.3:
Built-in data / 1.5.4:
attach and detach / 1.5.5:
Data entry / 1.6:
Reading from a text file / 1.6.1:
The data editor / 1.6.2:
Interfacing to other programs / 1.6.3:
Exercises / 1.7:
Probability and distributions / 2:
Random sampling / 2.1:
Probability calculations and combinatorics / 2.2:
Discrete distributions / 2.3:
Continuous distributions / 2.4:
The built-in distributions in R / 2.5:
Densities / 2.5.1:
Cumulative distribution functions / 2.5.2:
Quantiles / 2.5.3:
Random numbers / 2.5.4:
Descriptive statistics and graphics / 2.6:
Summary statistics for a single group / 3.1:
Graphical display of distributions / 3.2:
Histograms / 3.2.1:
Empirical cumulative distribution / 3.2.2:
Q-Q plots / 3.2.3:
Boxplots / 3.2.4:
Summary statistics by groups / 3.3:
Graphics for grouped data / 3.4:
Parallel boxplots / 3.4.1:
Stripcharts / 3.4.3:
Tables / 3.5:
Generating tables / 3.5.1:
Marginal tables and relative frequency / 3.5.2:
Graphical display of tables / 3.6:
Bar plots / 3.6.1:
Dotcharts / 3.6.2:
Pie charts / 3.6.3:
One- and two-sample tests / 3.7:
One-sample t test / 4.1:
Wilcoxon signed-rank test / 4.2:
Two-sample t test / 4.3:
Comparison of variances / 4.4:
Two-sample Wilcoxon test / 4.5:
The paired t test / 4.6:
The matched-pairs Wilcoxon test / 4.7:
Regression and correlation / 4.8:
Simple linear regression / 5.1:
Residuals and fitted values / 5.2:
Prediction and confidence bands / 5.3:
Correlation / 5.4:
Pearson correlation / 5.4.1:
Spearman's ? / 5.4.2:
Kendall's ? / 5.4.3:
ANOVA and Kruskal-Wallis / 5.5:
One-way analysis of variance / 6.1:
Pairwise comparisons and multiple testing / 6.1.1:
Relaxing the variance assumption / 6.1.2:
Graphical presentation / 6.1.3:
Bartlett's test / 6.1.4:
Kruskal-Wallis test / 6.2:
Two-way analysis of variance / 6.3:
Graphics for repeated measurements / 6.3.1:
The Friedman test / 6.4:
The ANOVA table in regression analysis / 6.5:
Tabular data / 6.6:
Single proportions / 7.1:
Two independent proportions / 7.2:
k proportions, test for trend / 7.3:
r × c tables / 7.4:
Power and the computation of sample size / 7.5:
The principles of power calculations / 8.1:
The power of one-sample and paired t tests / 8.1.1:
Power of two-sample t test / 8.1.2:
Approximate methods / 8.1.3:
Power of comparisons of proportions / 8.1.4:
Two-sample problems / 8.2:
One-sample problems and paired tests / 8.3:
Comparison of proportions / 8.4:
Multiple regression / 8.5:
Plotting multivariate data / 9.1:
Model specification and output / 9.2:
Model search / 9.3:
Linear models / 9.4:
Polynomial regression / 10.1:
Regression through the origin / 10.2:
Design matrices and dummy variables / 10.3:
Linearity over groups / 10.4:
Interactions / 10.5:
Two-way ANOVA with replication / 10.6:
Analysis of covariance / 10.7:
Graphical description / 10.7.1:
Comparison of regression lines / 10.7.2:
Diagnostics / 10.8:
Logistic regression / 10.9:
Generalized linear models / 11.1:
Logistic regression on tabular data / 11.2:
The analysis of deviance table / 11.2.1:
Connection to test for trend / 11.2.2:
Logistic regression using raw data / 11.3:
Prediction / 11.4:
Model checking / 11.5:
Survival analysis / 11.6:
Essential concepts / 12.1:
Survival objects / 12.2:
Kaplan-Meier estimates / 12.3:
The log-rank test / 12.4:
The Cox proportional hazards model / 12.5:
Obtaining and installing R / 12.6:
Data sets in the ISwR package / B:
Compendium / C:
Index
Preface
Basics / 1:
First steps / 1.1:
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