Introductory Statistics With R

By T. D. Sandry. Technometrics, 2003

423 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a000e58d9ed2eadcf2fd7aa35402cc117c15fb00

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Statistics and Probability

Citations in the corpus

limma: Linear Models for Microarray Data (2005, methodology): “1252 LC_NUMERIC=C [5] LC_TIME=English_Australia.”
Tree diversity analysis: a manual and software for common statistical methods for ecological and biodiversity studies (2006, methodology): “Dalgaard (2002) contains a simple description of the ideas and the tools within R software.”
Models of accuracy in repeated-measures designs (2008, background): “…glmðObs AþBþA : B; family¼ binomialÞ interactionEvidence AICðadditiveFitÞ AICðinteractiveFitÞ More detailed information about using the R language can be found in a variety of textbooks (e.g., Dalgaard, 2002; Everitt & Hothorn, 2006) and in sources listed on the R website (www.r-project.org).”
Ecological Models and Data in R (2008, background): “Further reading: If you need to review statistics, try Crawley (2002), Dalgaard (2003), or Gotelli and Ellison (2004).”
Comparisons of germination traits of alpine plants between fellfield and snowbed habitats (2005, methodology): “Logistic regressions were used to estimate the effects of the temperature conditions, treatment (untreated and moist-chilling treatments), and habitat type (fellfield and snowbed) on the probability of seed germination by fitting the generalized linear models with logit link function and binomial er”
Latent social structure in open source projects (2008, background): “Since the majority of pairs of developers don’t work on any files together, neither of these populations are normally distributed, making a t-test inappropriate [10, 20].”
FEAR: A software package for frontier efficiency analysis with R (2008, background): “Dalgaard, P. (2002), Introductory Statistics with R, New York: Springer-Verlag, Inc. Gattoufi, S., M. Oral, and A. Reisman (2004), Data envelopment analysis literature: A bibliography update (1951–2001), Socio-Economic Planning Sciences, in press.”
Impact of invasive plants on the species richness, diversity and composition of invaded communities (2009, methodology): “…data (e.g. Sokal & Rohlf 1995, pp. 352–356), using the correction for multiple comparisons based on the Bonferroni method, where the achieved significance levels are multiplied by the number of inferences to obtain conservative tests that eliminate type I error inflation (Daalgard 2002, p. 116).”
A protocol for conducting and presenting results of regression‐type analyses (2016, methodology): “R software code for a wide variety of statistical techniques can be found in Venables & Ripley (2002), Dalgaard (2002), Crawley (2012) and in textbooks containing detailed R code for more specific topics, for instance Pinheiro & Bates (2000), Bolker (2008), and Zuur et al. (2009), Zuur, Hilbe &…”
Biotic and abiotic variables show little redundancy in explaining tree species distributions (2010, methodology): “For proportional response variables (BA- and AB-models) we used weighted GLMs to account for the total number of tree individuals and stand basal area of all trees per plot, respectively (Dalgaard 2002).”
A Guide to QTL Mapping with R/qtl (2009, background): “We provide very little discussion of R itself, and refer the reader to Dalgaard (2002), for a gentle introduction to R, and Venables and Ripley (2002), for a more comprehensive discussion of R.”
Toponym resolution in text: annotation, evaluation and applications of spatial grounding (2007, methodology): “Accordingly, the last two columns in the tables presented here report whether the F-score of a heuristic or method is statistically significant from the two baselines RANDOM (left column) and MAXPOP (right column), respectively, as reported by a binomial test (Dalgaard (2002)).”
Why do alien plant species that reproduce in natural habitats occur more frequently? (2004, background): “Multicollinearity in the data (i.e. that many of the independent variables are correlated) may lead to several minimum adequate models that could theoretically be expected in the model selection process of multiple regressions (Dalgaard, 2002).”