Display a randomly chosen statistical quote.
Usage
statquote(ind = NULL, pattern = NULL, tag = NULL, source = NULL, topic = NULL)
# S3 method for class 'statquote'
print(x, cite = TRUE, width = NULL, ...)
# S3 method for class 'statquote'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)Arguments
- ind
Integer or character. If 'ind' is missing, a random quote is chosen from all quotations. If 'ind' is specified and is an integer, return the ind^th quote. If 'ind' is specified and is character, use it as the 'pattern'.
- pattern
Character string. Quotes are subset to to those which match the pattern in the quote text.
- tag
Character string. Quotes are subset to those matching the specified tag.
- source
Character string. Quotes are subset to those matching the specified source (person).
- topic
Deprecated. Use 'tag' instead. Only kept for backward compatability.
- x
object of class
'statquote'- cite
logical; should the
citefield be printed?- width
Optional print width parameter
- ...
Other optional arguments, unused here
- row.names
see
as.data.frame- optional
see
as.data.frame
Value
A character vector containing one quote.
It is of class statquote for which an S3 print method will be invoked, and for which
other methods are available.
See also
quote_tags, search_quotes, quotes,
Inspired by: fortune
Examples
set.seed(1234)
statquote()
#>
#> Competent scientists do not believe their own models or theories, but
#> rather treat them as convenient fictions. ...The issue to a scientist
#> is not whether a model is true, but rather whether there is another
#> whose predictive power is enough better to justify movement from
#> today's fiction to a new one.
#> --- Steve Vardeman, Comment, 1987, Journal of the American Statistical
#> Association, 82 : 130-131.
statquote(10)
#>
#> If one technique of data analysis were to be exalted above all others
#> for its ability to be revealing to the mind in connection with each of
#> many different models, there is little doubt which one would be chosen.
#> The simple graph has brought more information to the data analyst's
#> mind than any other device. It specializes in providing indications of
#> unexpected phenomena.
#> --- John W. Tukey, The Future of Data Analysis, The Annals of
#> Mathematical Statistics, Vol. 33, No. 1 (Mar., 1962), pp. 1-67.
statquote("boggled")
#>
#> The statistician has no magic touch by which he may come in at the
#> stage of tabulation and make something of nothing. Neither will his
#> advice, however wise in the early stages of a study, ensure successful
#> execution and conclusion. Many a study, launched on the ways of elegant
#> statistical design, later boggled in execution, ends up with results to
#> which the theory of probability can contribute little.
#> --- W. Edwards Deming, Principles of Professional Statistical Practice.
#> Annals of Mathematical Statistics, 36(6), 1883. (1965)
statquote(pattern="boggled")
#>
#> The statistician has no magic touch by which he may come in at the
#> stage of tabulation and make something of nothing. Neither will his
#> advice, however wise in the early stages of a study, ensure successful
#> execution and conclusion. Many a study, launched on the ways of elegant
#> statistical design, later boggled in execution, ends up with results to
#> which the theory of probability can contribute little.
#> --- W. Edwards Deming, Principles of Professional Statistical Practice.
#> Annals of Mathematical Statistics, 36(6), 1883. (1965)
statquote(source="Yates")
#>
#> [Researchers] pay undue attention to the results of tests of
#> significance they perform on their data, particularly data derived from
#> experiments, and too little to the estimates of the magnitude of the
#> effects which they are investigating.... The emphasis on tests of
#> significance, and the consideration of the results of each experiment
#> in isolation, have had the unfortunate consequence that scientific
#> workers have often regarded the execution of a test of significance on
#> an experiment as the ultimate objective. Results are significant or not
#> and that is the end to it.
#> --- Frank Yates, The influence of Statistical Methods for Research
#> Workers on the development of the science of statistics. 1951. Journal
#> of the American Statistical Association 46: 19-34.
statquote(tag="anova")
#>
#> the number of stars by itself is relevant only to the question of
#> whether H0 is exactly true--a question which is almost always not of
#> interest to us, especially because we usually know a priori that H0
#> cannot be exactly true.
#> --- Norman S. Matloff, Statistical hypothesis testing: problems and
#> alternatives. 1991. Environmental Entomology 20 : 1246-1250.
print.data.frame(statquote(302)) # All information
#> qid
#> 302 302
#> text
#> 302 Some of us feel that type III sum of squares and so-called LS-means are statistical nonsense which should have been left in SAS.
#> source cite url
#> 302 Brian Ripley Discussing features of S-Plus, S-news 5.29.1999 <NA>
#> tags tex
#> 302 data,data analysis,lsmeans <NA>