Open timothyslau opened 4 years ago
Would you be interested in adding it? If you get the raw CSV from somewhere and a description, I can help you do the rest.
I'd be happy to.
Code:
write.csv(x = Orange, file = "Orange.csv", row.names = F)
# export the R dataset
zip(zipfile = "Orange.zip", files = "Orange.csv")
# zip the csv file
?Orange
# print the documentation
Documentation Orange {datasets} R Documentation Growth of Orange Trees Description The Orange data frame has 35 rows and 3 columns of records of the growth of orange trees.
Usage Orange Format An object of class c("nfnGroupedData", "nfGroupedData", "groupedData", "data.frame") containing the following columns:
Tree an ordered factor indicating the tree on which the measurement is made. The ordering is according to increasing maximum diameter.
age a numeric vector giving the age of the tree (days since 1968/12/31)
circumference a numeric vector of trunk circumferences (mm). This is probably “circumference at breast height”, a standard measurement in forestry.
Details This dataset was originally part of package nlme, and that has methods (including for [, as.data.frame, plot and print) for its grouped-data classes.
Source Draper, N. R. and Smith, H. (1998), Applied Regression Analysis (3rd ed), Wiley (exercise 24.N).
Pinheiro, J. C. and Bates, D. M. (2000) Mixed-effects Models in S and S-PLUS, Springer.
Examples require(stats); require(graphics) coplot(circumference ~ age | Tree, data = Orange, show.given = FALSE) fm1 <- nls(circumference ~ SSlogis(age, Asym, xmid, scal), data = Orange, subset = Tree == 3) plot(circumference ~ age, data = Orange, subset = Tree == 3, xlab = "Tree age (days since 1968/12/31)", ylab = "Tree circumference (mm)", las = 1, main = "Orange tree data and fitted model (Tree 3 only)") age <- seq(0, 1600, length.out = 101) lines(age, predict(fm1, list(age = age))) [Package datasets version 4.0.2 Index]
See attachment. Orange.zip
Great thanks, your PR should follow these steps:
.csv.gz
extension) and placed in data/datasets/Orange.csv.gz
(note that RDA file is also fine if that's easier)doc/datasest/
you should add an Orange.html
following the templates of the other ones already in there, this is just a short description that can be copy pasted from the original sourcethanks!
RDatasets.dataset("datasets", "Orange")
I get