Index Mike’s Biostatistics Book
Index to key terms in this eBook; 1,901 terms (last updated 23 October 2026)
R commands used in this book available at List of R commands
Click on term to take you to the page where the word is first presented; if the term is on multiple pages, the pages are retrieved one after the other. Use your browser search to refine your search to find the location of your search term on the page. The index page is tied to tags, not url linked to the keywords.
A
- AAR
- abind
- abline()
- Absolute risk
- Absolute risk reduction
- accuracy
- ACF
- active control trial
- active treatment
- acupuncture
- added sums of squares
- additive model
- adjusted mean
- Adjusted R-squared
- adjusted sums of squares
- Advanced statistics
- ad hoc survey
- aes()
- Age-adjusted rates
- Age-specific rates
- agRee
- agreement
- agreement scale
- AI
- AIC()
- Akaike Information Criterion (AIC)
- algorithm
- allometric equation
- allometric scaling
- allometry
- alternate hypothesis
- alternative hypothesis
- AMD CPU
- Among Groups Variation
- Analysis of covariance
- analysis of means
- analysis of variance
- ANCOVA
- Anderson-Darling test
- and linear regression
- anecdote
- animal research
- anolis lizard
- ANOVA
- ANOVA experimental design
- ANOVA on ranks
- ANOVA sources of variation
- ANOVA table
- anova(). p-value
- Anscombe's quartet
- antilog
- antioxidant properties of tea data set
- aovSufficient()
- aov()
- ape package
- append()
- Apple Numbers
- applied statistics
- approximate confidence interval
- app nap
- arcsine transformation
- area under precision-recall curve
- Area under the curve
- ARM64 CPU
- ARR
- ARRIVE
- arsenic
- Artificial Intelligence (AI)
- ascertainment bias
- ASCI characters
- asin()
- assignment operator
- assumptions
- assumption of normality
- asymptotic statistics
- as.character()
- as.data.frame()
- as.factor()
- as.matrix()
- as.vector()
- attach()
- AUC
- AUPRC
- AUROC
- AutoComplete
- AutoCorrect
- autocorrelation
- autocorrelation function
- average
- ave()
- a priori tests
- A. Bradford Hill
B
- balanced
- balanced design
- bandwidth
- barchart2()
- barplot()
- bar chart
- bar charts
- bar plot()
- baseline
- baseline correction
- baseline drift
- baseline package
- baseline window
- base R
- base rate fallacy
- bash shell
- Bayesian
- Bayesian blocks
- Bayesian Factor
- Bayesian Information Criterion (BIC)
- Bayesian probability
- Bayesian statistics
- Bayes conditional probability
- Bayes factor
- Baye's rule
- beeswarm
- bell-shaped curve
- Belmont accords
- Belmont Report
- Bessel correction
- Bessel's correction
- best fit line
- best model
- best-fit
- between-subjects design
- bias
- biased estimate
- biased samples
- binary
- Binary classification
- binary outcome variable
- binary version
- binning
- binomial
- binomial coefficient
- binomial distribution
- binomial probability
- binomial test
- bins
- bin size
- BiocManager
- Bioconductor
- Bioconductor; BiocManager
- biodiversity
- BiodiversityR package
- bioinformatics
- biological replication
- biomarker
- biometrics
- biometry
- Biostatistics
- biserial()
- bits
- Bland-Altman plot
- block
- blocking effect
- blocking factor
- block effect
- block sampling
- BMI
- BMR
- body mass index
- Body weight inbred mice dataset
- Bonferroni correction
- Bonferroni outlier test
- Bonferroni p-value
- Bonferroni test
- bootstrap
- bootstrapping
- bootstrap parameter estimates
- bootstrap samples
- bootstrap sampling
- bootstrap test of heterogeneity of variances
- boot package
- boot_cor_test()
- boxplot()
- box plot
- branch length
- Breusch-Pagan test for heteroscedasticity
- Broad Street cholera outbreak
- Brownian motion
- BSDA package
- bubble chart
- bubble plot
- Bumpus data set
C
- cairoDevice package
- calculator formulas
- calculator shortcuts
- camelCase
- cancer risk
- Can the intraclass correlation be negative?
- carData
- carry-over effects
- Cartesian plot
- case control studies
- case control study
- case series
- case study
- categorical
- categorical outcome variable
- cats dataset
- cat()
- causal criteria
- causal inference
- causation
- cause
- cause and effect
- cbind()
- CDC WONDER
- ceiling()
- censored data
- censored values
- census
- center of mass
- Central Limit Theorem
- central tendency
- Centroid linkage
- CER
- cex
- cex.axis
- cex.lab
- Chaminade University
- chance
- changelog
- character vs factor
- chart
- chart vs graph vs plot
- Chebyshev distance
- Chebyshev's inequality
- chisq
- chisq.test()
- chi-square
- chi-square distribution
- chi-square table
- chi-square test
- chooseCRANmirror()
- choose()
- Choropleth map
- Chromebook
- chronology bias
- circular definition
- citation bias
- CI()
- ci_mean()
- class
- classical frequentist
- clinical data management
- clinical equipoise
- clipboard
- clipr package
- closed interval
- CLT
- Cluster analysis
- cluster package
- cluster sampling
- cmd
- CoCalc
- Cochrane Reviews
- Cochran's Q test
- code playground
- code sandbox
- coding best practices
- CODIS
- coefficient
- coefficients
- coefficient of determination
- coefficient of variation
- coef()
- cognitive bias
- Cohen's d
- Cohen's kappa
- cohort studies
- cohort study
- cohort-control
- cohort.count
- col
- CoLab
- Colaboratory
- collinearity
- colnames()
- colors()
- column chart
- combinat
- combinations
- combine
- combined effect size
- combined event
- combn()
- Comet assay
- Comet assay dataset
- command-line interface
- common garden experiment
- comparator
- compare proportions
- compare results
- comparisonwise error rate
- comparison operator ==
- compiled language
- completely randomized experimental design
- Complete linkage
- Composite variable
- compound symmetry
- concordance
- concordant
- concordant pairs
- conditional error probability
- conditional formatting
- conditional probability
- confidence interval
- confidence intervals
- Confidence interval for ARR
- confidence interval for NNT
- confidence levels
- confintr package
- confint()
- confirmation bias
- confirmatory bias
- conflict of interest
- confounding
- confounding factor
- confounding variable
- confounding variables
- confusion matrix
- congruence bias
- conservative
- conservative test
- CONSORT
- constraints
- contingency table
- contingency tables
- Continuous probability
- continuous random variable
- contrasts
- contrast coding
- contributory cause
- Control event rate
- control group
- convenience sampling
- Cook's distance
- cophenetic()
- copyright
- correction
- correlation
- correlation does not imply causation
- correlation package
- cor.test()
- countable
- counting rule
- covariable
- covariance
- covariates
- covariation
- covary
- Covid-19
- Cox proportional hazards model
- Cramer's V
- CRAN
- CRAN mirror
- critical thinking
- critical thinking skills
- critical value
- Cronbach's alpha
- crossed
- crossed design
- crossed model
- Crossed versus nested design
- cross-over design
- cross-sectional
- cross-sectional sample design
- cross-sectional studies
- cross-sectional study
- Cross-validation
- CT
- culture plate design
- cumulative distribution function
- cumulative frequency plot
- cumulative function
- cumulative incidence
- curve fitting
- cut off value
- cycle threshold
- Cytoscape
- c()
D
- Daniel's vegetarian diet
- dart board
- DASH for R
- data
- dataset autism rates and "causal" variables
- dataset birth weight by lead exposure
- dataset BMI multiple regression
- dataset cars stopping distance
- dataset diabetes cholesterol statin
- dataset electoral college counts
- dataset Mauna Loa carbon dioxide
- dataset mice lifespan
- dataset tadpole oxygen consumption
- dataset 100m records
- dataset: beans RAPD markers
- dataset: cell count
- dataset: Fly wings
- dataset: lizard body mass
- dataset: repeat 5K
- data acquisition
- data aggregation
- data analysis
- data dictionary
- Data dispersion
- data dredging
- data exploration
- data life cycle
- data management
- data management plan
- data mining
- data multicollinearity
- data processing
- data scientist
- data set
- data set Copper and rats
- data set fly wings
- Data set snake olfaction
- data transformations
- data types
- data visualization
- data.frame()
- datum
- dbinom()
- dcast()
- dchisq()
- decile
- deciles
- decision criterion
- Declaration of Helsinki
- decompose()
- definition
- degrees of freedom
- delta-delta CT method
- Dendograms
- density plot
- dependent variable
- dependent variables
- DerSimonian-Laird test
- descriptive statistics
- descriptive study
- DescTools package
- Desc()
- detatch()
- detection bias
- deviance
- deviate
- devtools
- de Finetti diagram
- df
- diabetic dataset
- Diagnosis
- diagnostic plots
- diagnostic test
- diagnostic tests
- diagrams
- digitize package
- dimensionality reduction
- dimnames()
- dim()
- discordant
- discordant pairs
- discrete
- Discrete probability
- discrete random variable
- dissimilarity
- distance
- distance clustering methods
- distance correlation
- distance matrix
- distribution free tests
- dist()
- Diversity index
- DNA profile
- dnorm()
- Doll and Hill (1950)
- dose-response
- Dotplot()
- dot plot
- double blind
- double-colon operator
- dplyr
- dpois()
- draw.pairwise.venn()
- draw_bracket()
- drc
- drm()
- drop-down menu
- dummy variables
- Dunnett's test
- Durbin-Watson test for autocorrelation
E
- EBM
- ECG simulation
- ecological fallacy
- EC50
- educated guesses
- ED()
- EER
- effectsize package
- effect size
- effsize()
- empirical probability
- empirical rule
- encephalization index
- Environment
- EPA
- epidemiology
- epiR
- Epistemology
- epitests()
- epitools
- epi.tests()
- epi.2by2()
- ePortfolio
- equal error variance assumption
- equal prior odds
- equal slope hypothesis
- equal variances
- Equal variances among groups
- equal variance assumption
- equa2vartest
- error
- error bar
- error bars
- error distribution family
- error matrix
- Error MS
- error sums of squares
- error sum of squares
- error variance
- estimate
- estimation
- estimator
- eta-squared (η2)
- ethical research in ecology and environmental studies
- etiology
- Euclidean distance
- eugenics
- Evan's postulates
- event
- Everything that exists is an object
- evidence
- Evidence Based Medicine
- exact p-value
- exact2x2
- excess post-exercise oxygen consumption
- exclusion criteria
- expected
- expected frequency
- expected value
- experimental design
- experimental error
- Experimental event rate
- experimental studies
- experimental unit
- experimentwise error rate
- experiment-wise
- exploratory data analysis
- exponential function
- exponential growth
- exposure
- exposure risk
- exp()
- external validity
- extract information from object
- extrinsic factors
- extrinsic model
F
- fact
- factoextra package
- Factor
- factorial
- factors
- Factors influencing statistical power
- Fagan nomogram
- Fair use disclaimer
- false level of precision
- false negative
- false positive
- familywise error rate
- family-wise
- figure legend
- file()
- file.choose()
- Financial disclaimer
- findCRANmirror()
- findpeaks()
- first moment
- Fisher
- Fisherian approach
- Fisher Exact test
- Fisher Scoring
- Fisher's diversity index
- Fisher's method
- Fisher's Z transformation
- fisher.test()
- fitted values
- fit_growthmodel()
- fit_spline()
- fixed effects
- fixed effects model
- fixed factor
- fix()
- Fleiss kappa
- Fleming-Harrington estimator
- floor()
- FOBT
- fold-change
- forecast package
- forest plot
- format()
- for loop
- fourth moment
- four parameter logistic curve
- fractal
- FreeCAD
- Freedman and Diacones rule
- frequency histogram
- fully replicated design
- FUN
- functions
- function()
- fundamental counting principle
- F degrees of freedom
- F probabilities
- F-test
- F-test statistic
- F distribution
- F statistic
G
- Galton
- gamma-distribution
- Gaussian distribution
- Gauss–Markov theorem
- GB virus C
- gecko
- geeM package
- geepack package
- generalizable conclusions
- Generalized Least Squares
- generalized linear model
- generalized linear model (GLS)
- general linear model
- genetic distance
- gene expression
- gene tree
- geodist package
- geographic clustering
- geometric mean
- geom_point()
- geom_rect()
- geom_ribbon()
- geosd()
- get_seed()
- ggplate package
- ggplot2
- ggplot2 package
- Gibbs sampling
- GIMP
- Git
- github
- Glass's g
- glht()
- GLM
- GNU Octave
- GOF
- gold standard
- Gompertz
- goodness of fit
- good science
- Google ngram viewer
- Google Sheets
- gplots
- GRADE
- gradient method
- grand mean
- graph
- GrapheR
- GraphPad
- graphs
- graph elements
- graph style
- Greenhouse-Giesser correction
- Greenwood estimator
- GRG nonlinear optimization
- growthrates
- growth rate
- gtools
- GUI
H
- habitat patchiness
- Hamming distance
- Handbrake
- haphazard
- haphazard sampling
- HardyWeinberg
- Hardy-Weinberg
- harmonic mean
- Hazard
- hazard function
- Hazard rate
- Hazard ratio
- head()
- health disparities
- heatmap()
- heatmap.plus()
- heatmap2()
- heat map
- Hedges' gu
- Hedge's g
- help()
- Henle-Koch's postulates
- Heterogeneity chi-square test
- heteroscedasticity
- heteroscedasticity consistent
- HH package
- hidden covariation
- hierarchical clustering
- Hill's guidelines
- Hill-Slope model
- Histdata()
- histogram
- histograms
- history of statistics
- Hist()
- Holm-Bonferroni method
- HoltWinters()
- homogeneity of variances
- homoscedasticity
- honestly (wholly) significant difference test
- how many subjects
- how to get help with R commands
- Hutcheson t-test
- Huyhn-Feldt correction
- HWTernaryPlot
- hydroxychloroquine
- hypergeometric distribution
- hypothesis
- hypothesis testing
- Hypothesis tests
- H1 commute speeds dataset
I
- ICC
- icc package
- icon array plot
- IDE
- identity matrix
- id number
- imageJ
- imputed values
- inbred mice strains
- Incidence
- Incidence rate
- inclusion criteria
- Independence
- independence assumption
- Independence of errors
- independent
- independent event
- independent sample t-test
- independent variable
- independent variables
- index
- index variable
- individual error rate
- individual-wise comparison
- inductive reasoning
- inference
- information bias.
- installed.packages()
- installR
- install R
- Install R Commander
- install.packages()
- Institutional Review Board
- instrument
- INTEL CPU
- interaction
- interactions
- interaction model
- Interaction MS
- interaction plot
- intercept
- internal consistency
- internal validity
- interobserver error
- interpolate; extrapolate
- interquartile range
- interval
- interval estimate
- interval scale
- intervention trial
- interviewer bias
- inter-rater
- inter-rater reliability
- intraclass correlation
- Intraclass Correlation Coefficient
- intraobserver error
- intrinsic model
- inverse odds ratio
- inverse of the square-root transformation
- in the Cloud
- IQR
- IRB Board
- IRkernal
- irr package
- is.na()
- iTOL
- I-squared test
J
K
L
- lag
- lapply()
- large-sample statistics
- LaTeX
- Latin design
- Law of Large Numbers
- LC50
- LDE
- LD50
- lead
- Leaf lengths from three strains of Arabidopsis thaliana data set
- learning curve
- learning objective
- left-censored
- left-skewed
- legend()
- length()
- leprosy
- leptokurtic
- leptokurtosis
- levels
- level()
- Levene's median test
- Levene's test of equal variances
- leverage
- Leverage plot
- library()
- LibreOffice
- LibreOffice Calc
- lifetime risk
- life span
- likelihood
- likelihood ratio test
- likelihood ratio testlikelihood ratio test
- Likert scale
- Likert-like scale
- limits of quantification
- linear association
- linear coefficients
- Linear model
- linear regression
- Linear regression assumptions
- lines()
- LINE assumptions
- linkage clustering methods
- link function
- Linux
- LINUX container
- listwise deletion
- list()
- lmboot package
- lm()
- Load data set
- Load Rcmdr plug-in(s)
- load()
- local development environment
- Loess smoothing functions
- loess()
- logarithm transformation
- logistic
- Logistic function
- logistic regression
- logistic regression function
- logit link function
- log likelihood
- log likelihood ratio test
- log()
- log-base 10
- log-base 2
- log-transform
- log2()
- longitudinal design
- lower limit
- LRT
- ls()
- lty
- lung cancer
M
- machine learning
- macos
- mad()
- main effects
- Mallow's Cp
- mammal brain-body size dataset
- Mandel-Paule test
- Manhattan distance
- Manhattan plot
- Mann-Whitney test
- map distance
- marginality
- Marginal effects
- marginal probability
- margin of error
- Markdown
- Mark Twain
- MASS package
- matched pair case-control
- Mathematica
- MATLAB
- Matrix package
- Matrix transpose
- matrix()
- Matthews correlation coefficient
- Mauchly test
- maximum value
- max()
- Mayr
- MCC
- MCM
- MCMC
- mcnemarExactDP
- McNemar's test
- mcnemar.test()
- McQuitty's method
- MDI
- mean
- mean deviation
- Mean Square
- Mean Squares
- Mean Square Between Among Subjects
- Mean Square Between Subjects
- Mean Square Error
- measurement
- measurement unit
- measures of dispersion
- median
- Medical opinion disclaimer
- medical school
- Med(X)
- MEGA software
- melt()
- memoryless
- Mendelian genetics
- meristic
- MESS package
- metadata
- metafor package
- meta-analysis
- meta-regression
- Microsoft Excel
- Microsoft Office
- Microsoft R Open
- mid-P
- migraine
- Mike's Genetics & Genomics Workbook
- Mike’s Workbook for Biostatistics
- Miniconda
- minimum value
- min()
- mirror
- mirror site
- misconduct
- missing at random
- missing completely at random
- missing not at random
- missing value
- missing values
- mixed effects
- mixed effects model
- mlr3misc
- mode
- model
- modeling
- model building
- model diagnostics
- model fit
- model fitting
- model formula
- Model I
- Model II
- Model III
- Model II regression
- Model I regression
- Molecular clock
- molecular clock hypothesis
- moments
- Monte Carlo
- Monte Carlo Methods
- mosaicplot()
- mosaic plot
- Most Recent Common Ancestor (MRCA)
- multcomp package
- multicollinearity
- multicomparison problem
- Multifactorial ANOVA
- multiple comparisons
- multiple comparison problem
- multiple linear regression
- multiple regression
- multiplicative rule
- multiplicity
- multivariate statistics
- multiway ANOVA
- myCompiler
- M&Ms data set
N
- namespaces
- names()
- National Health Interview Survey
- natural logarithm
- natural numbers
- Nazi medical research
- NeatMap()
- necessary cause
- negative log10 p-value
- Negative predictive value
- negative skew
- Nei's distance
- nested
- nested ANOVA
- nested design
- nested model
- Newick file
- new variable name
- Nexus
- Neyman
- Neyman-Pearson approach
- ngram viewer
- NHIS
- NHST
- nlme package
- NLopt
- nloptr
- NNT
- nocebo
- nodelabels()
- nodes
- noise
- Noisy data
- nominal
- nominal data type
- nonlinear
- Nonparametric
- nonparametric alternative statistical tests
- nonparametric tests
- nonprobability sampling
- non-random process
- non-responders
- non-response bias
- normality
- normalityTest()
- normality assumption
- Normality tests
- normalization
- normalize
- normalized
- normalizing
- normally distributed
- normal deviate
- normal distributed population
- normal distribution
- Normal Q-Q plot
- normal table
- nortest package
- No-responsibility disclaimer
- NPV
- nuisance variable
- nuisance variables
- null hypotheses
- null hypothesis
- Null Hypothesis Significance Testing
- Null Hypothesis Significant Testing
- Number needed to treat
- numerical summaries
- Nuremberg code
O
- objectively true
- objective probability
- objects
- observation
- observational studies
- observations
- observed
- observed frequency
- observer bias
- observer-expectancy bias
- OBS studio
- Occam's razor
- ODBC
- Odds
- odds ratio
- ohia dataset
- ohia.ch12 dataset
- OJ Simpson trial
- OLS
- omega-squared (ω2)
- Onedrive
- OneNote
- one sample
- One sample tests
- one tailed test
- one tail test
- one-sample t-test
- one-way ANOVA
- OpenEpi
- open interval(0
- open source
- optimization
- options()
- order of magnitude
- order()
- ordinal
- ordinal outcome variables
- ordinal scale
- ordinary least squares
- Orlóci paradox.
- orthogonal
- outbreak
- outbred mice strains
- outcome
- Outcomes of an experiment
- outcome variable
- outlier
- outlier data points
- outlier detection
- output window
- overplotting
- O`hia
P
- package
- packages
- package bootstrap
- package.name
- Pagel's lambda
- paired
- PairedData
- paired design
- paired sample t-test
- Paired t-test
- paired Wilcoxon test
- pairwise
- pairwise comparisons
- pairwise deletion
- pandoc
- parallel coordinates plot
- parallel-forms reliability
- parameter
- parameters
- parameter estimation
- parameter order
- parametric
- parametric statistics
- parametric test
- parametric tests
- partial correlation
- partial effects
- partial marginality
- partial regression slope
- partial.cor()
- par()
- paste()
- Path analysis
- patristic distance
- pch
- pchisq()
- pcx
- peakDetection package
- peak detection
- Pearson
- Pearson product moment correlation
- peer-review
- penalized criterion
- percentage histogram
- percentiles
- performance bias
- permn()
- permutation
- permutations
- Person-time
- per capita
- per capita rate
- philentropy package
- phi coefficient
- Phred quality score
- Phylogenetically independent contrast
- Phylogenetic Generalized Least Squares (PGLS)
- Phylogenetic Independent Contrasts
- phylogenetic regression
- phylogenetic signal
- phylogenetic tree
- phylogenetic variance-covariance matrix
- Phylogeny
- phylomorphospace()
- PIC
- PICO model
- Pielou's evenness index
- pie chart
- pie charts
- pip
- pipeline
- pipet dataset
- placebo
- placebo effect
- planned comparisions
- planned comparisons
- Platt
- platykurtic
- platykurtosis
- playoffs
- plots
- plot character
- Plot of confidence intervals
- plot of means
- plot()
- plot.ly
- plot3d()
- plugin
- plyr
- png format
- pnormGC()
- pnorm()
- points()
- point characters
- point estimate
- Poisson distribution
- polychoric correlation
- polychoric()
- polychor package
- polygon()
- polynomial linear model
- polyserial()
- pooled estimate
- pooled sample variance
- pooled standard deviation
- pooled standard error of the mean
- pooled variance
- population
- population descriptive statistics
- population genetics
- population mean
- population standard deviation
- population variance
- positive predictive value
- positive skew
- Positron
- posteriori tests
- posterior probability
- posthoc power test
- posthoc tests
- Posttest probability
- post-hoc
- post-hoc tests
- power of a statistical test
- Power of a test
- PPV
- pracma package
- precision
- predicted Y values
- Prediction
- predictors variables
- predictor variable
- predict()
- President approval rating data set
- pretest probability
- prevalence
- prevalence rate
- primary outcome
- Primary research
- prior probability
- probability
- probability density histogram
- probability distribution
- probability sampling
- probability theory
- probability tree
- probability value
- problems
- product moment correlation
- product rule
- prod()
- profile plot
- prognosis
- programming language
- project learning activity
- propCIs()
- proportion
- proportion z test
- prop.test()
- Prosecutor's Fallacy
- prospective cohort
- Prospective power analysis
- proximate explanation
- pseudorandom number generator
- pseudoreplication
- pseudoreplicaton
- pseudo-random numbers
- psych
- psych package
- psy package
- pt()
- PUBMED
- pwr package
- pwr.t.test()
- Pythagorean Theorem
- Python
- Python package
- p-hacking
- p-value
- p-value threshold
Q
R
- R
- radon gas
- Ramsey RESET test
- random
- randomization
- randomized block design
- randomized control
- randomized control trial
- randomized crossover trial
- randomly selected
- random assignment
- random chance
- random distribution
- random effects
- random effects model
- random error
- random factor
- random forest
- random normal distribution
- random number generator
- random process
- random sampling
- random sampling error of measurement
- random selection
- random variables
- range
- ranks
- rank ANOVA
- rank()
- Rao's diversity index
- Rao's Quadratic Entropy index
- rate
- ratio
- rational justification
- ratio scale
- rattle package
- raw data
- RA Fisher
- rbind()
- rchisq()
- Rcmdr
- RcmdrKMggplot2
- RcmdrMisc
- RcmdrPlugin.EBM
- RcmdrPlugin.EZR
- RcmdrPlugin.HH
- RCT
- rdrr.io
- readings
- read.table()
- read.tree()
- read_clip_tbl()
- real world data
- recall
- recall bias
- receiver operating carrier
- reciprocal odds ratio
- recode the data before applying a transform
- Reduced Major Axis
- Reduced major axis regression
- reduced model
- reference population
- regions of the curve
- Regression
- regression confidence intervals
- regression degrees of freedom
- regression diagnostic tests
- regression model
- regression slope
- regression sum of squares
- relative frequency histogram
- relative operating carrier
- relative risk
- relative risk reduction
- relative risk reduction. RRR
- relative risk v. odds ratio
- relative standard deviation
- relevel()
- reliability
- reliability estimators
- REML
- remote development environment
- remove()
- remove.packages()
- rename()
- repeatability
- Repeated length measures on 12 Conus shells dataset
- repeated measures ANOVA
- repeated measures design
- repeat Honolulu marathon running times dataset
- repeat measures
- repeat 5K race times dataset
- replicated design
- replicate()
- replication
- replication crisis
- reporting bias
- reproducibility
- reproducibility of published research
- reproducible science
- rep()
- require()
- Resampling
- RESET test for nonlinearity
- reshape2
- residuals
- residuals vs the predicted values
- residual error terms
- residual patterns
- residual standard error
- residual sum of squares
- residual.boot()
- responders
- Response transformation
- response variable
- restricted maximum likelihood
- restricted sampling
- retrospective
- Retrospective power analysis
- RGtk2 package
- RGUI
- Richard curves
- right-censored
- right-skewed
- Risk
- risk analysis
- Rmarkdown
- rma()
- Rmisc package
- rm()
- rnorm()
- robust estimator
- robust statistics
- ROCR package
- root()
- rounding
- round()
- rownames()
- rptR package
- RRR
- RShowDoc()
- RStudio
- RStudio citation
- rtools package
- rule of thirty
- runif()
- Run as administrator
- Rust
- R assignment
- R citation
- R code
- R Commander
- R data editor
- R language
- R manuals
- R operators
- R programming
- R prompt
- R script
- R tutorials
- R user guides
- R workflow
- R-Bloggers
- R-project
- R-squared
- R2
S
- SageMATH
- sample descriptive statistics
- sample frequency distributions
- sample mean
- sample population
- sample size
- sample space
- sample standard deviation
- sample statistic
- sample variables
- sample variance
- sample without replacement
- sample()
- sample.int()
- sampling
- sampling distribution
- sampling error
- sampling unit
- sampling units
- sampling without replacement
- sampling with replacement
- sandwich estimators
- SarsCov-2
- saturated model
- save image
- scales package
- scale-location plot
- scan()
- scattergram
- scatterplot
- scatter diagram
- scatter plot
- scatter plots
- scatter3d()
- SciDAVis
- scientific method
- Scott's rule
- script
- script window
- scurvy
- SDI
- sd()
- Seahawks sacks dataset
- season package
- secondary outcome
- Secondary research
- second moment
- second Y axis
- seed
- segments()
- selection bias
- selection bias. surveillance bias
- self-directed student research project
- SEM
- sensitivity
- sequence of numbers
- seq()
- Serra continuity correction
- serum cholesterol data set
- setwd()
- set.seed()
- Shannon's Index
- Shapiro-Wilks test
- Shapiro-Wilk test
- Shaprio-Wilks
- Shepard's diagram
- Shortcut
- Sidney Farber
- significant figures
- signif()
- similarity
- simple linear regression
- simple random sampling
- simulated four population dataset
- simulation
- single blind
- Single linkage
- single-elimination tournament
- sjmisc package
- sjPlot package
- skewness
- skills
- Skittles data
- slope
- small datataset
- Smoothing functions
- smoothing parameter
- smooth.spline()
- snake_case
- Snedecor
- Snowball sampling
- SNP
- SNP of BRCA1 locus data set
- sort()
- Sources of Variation in Nested ANOVA
- source population
- source version
- spaghetti plot
- spatial sample
- Spearman rank correlation
- Spearman's correlation
- Spearman-Brown prediction
- species richness
- specificity
- specific dynamic action
- sphericity
- spike and slab prior
- spline
- spline smoothing function
- split plot design
- split-half reliability
- spreadsheet
- spurious correlation
- spurious correlations
- square root transformation
- stacked bar chart
- stacked worksheet
- standardize
- Standardized million
- standard deviation
- standard deviation of the geometric mean
- standard error
- standard error of regression
- standard error of the estimate
- standard error of the mean
- standard error of the paired difference mean
- standard normal distribution
- start R
- start Rcmdr
- star tree phylogeny
- stationary time series
- statistically significant differences
- Statistical bias
- statistical classification
- statistical graphics
- statistical inference
- statistical model
- statistical outlier
- statistical power
- statistical reasoning
- statistical significance
- statistical significance level
- statistical thinking
- statistics
- statistics of error
- stats package
- Steph Curry dataset
- strata
- stratified random sampling
- stripchart()
- strong inference
- Structural Equation Modeling
- structural multicollinearity
- str()
- Student's T-test
- Student's t distribution
- study population
- Sturges
- Sturge's rule
- St. John's Wort
- subgroups
- subgroup analysis
- subjective probability
- sudo
- sufficient cause
- sufficient statistics
- summary statistics
- summary()
- sums of squares
- sum of squared among (between) groups
- sum of squares
- Superfund
- supervised learning
- Surveillance bias
- survey
- survey design
- survfit()
- survival analysis
- survival function
- survival package
- survivorship bias
- SwimmeR
- symmetric matrix.
- systematic bias
- systematic error
- systematic reviews
T
- tables
- table title
- tails of the distribution
- tapply()
- targeted survey
- targets package
- TATA box
- technical replication
- terminal
- TernaryPlot()
- ternary plot
- testequavar package
- test statistic
- test()
- test-negative design
- test-retest reliability
- Tetrachoric correlations
- tetrachoric()
- theoretical probability
- Therapy
- third moment
- three parameter logistic curve
- Three-way ANOVA design
- threshold of change
- tibble
- tidyquant
- tidyverse
- tigerstats
- tilda
- timeSeries package
- TimeTree.org
- time series
- tip.label
- TitanicSurvival
- Title IX
- Title IX data set
- tobacco cigarette smoking
- tolerance
- tomato germination data set
- TOSTER package
- total sum of squares
- trademark
- training
- transform
- transformations of the data
- treatment
- treatment arms
- treatment groups
- Tree thinking
- Trellis plot
- triangle inequality rule
- trimmed mean
- true negative
- true positive
- true value
- truly random numbers
- truncated mean
- tsum.test()
- ts()
- TTS Accessibility
- Tufte theme
- TukeyHSD()
- Tukey mean-difference plot
- Tukey's HSD
- Tukey's HSD test
- Tukey's range test
- twinning
- two sample
- Two sample effect size
- two sample tests
- two sample Wilcoxon test
- two tail test
- two-factor ANOVA
- two-tailed test
- two-way ANOVA
- Two-way factorial with no replication design
- two-way randomized
- Two-way randomized complete block design
- Type III type of test
- Type II analyses
- Type II error
- Type II error rate
- Type II type of test
- Type I error
- Type I error rate
- t quantiles
- t test statistic
- t-distribution
- t-distribution table
- t-statistic
- t-tests
- t.test()
U
- ultimate explanation
- unbalanced design
- unbiased conclusion
- unbiased estimator
- uncertainty
- uncode
- unconscious bias
- unequal sample size
- uniform distribution
- unimodal
- union probability
- Unipro UGENE
- unit of observation
- unknown causal factors
- unloadNamespace()
- unplanned comparisons
- unrestricted sampling
- unstacked worksheet
- unstandardize
- Unsupervised machine learning
- updateR
- update R
- update.packages()
- UPGMA
- upper limit
- upper tail
- US Presidents handedness data set
V
W
- waffle plot
- Wald confidence interval
- Wald method
- Wald test statistic
- Ward's method
- warning message
- waterfall plot
- weighted arithmetic mean
- weighted kappa
- Weighted least squares
- Welch F-test
- Welch's test
- Welch-test
- wheel running performance inbred mouse strains dataset
- wheel-running behavior mice dataset
- whisker plot
- Wilcoxon rank sum test
- Wilcoxon signed rank test
- Wilcoxon test
- Wilcoxon test statistic (W)
- Wilk's theorem
- Wilson score intervals
- Wilson Score method
- windows
- window length
- Winsorized variance
- Winsorized variances
- winvar()
- Win11
- Within Group Variation
- within-subjects design
- with()
- workbook
- workflow
- working folder
- wrapper function
- Wright
- WRS2
X