R Dataset / Package datasets / chickwts
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dataset-57787.csv | 1.03 KB |
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On this Picostat.com statistics page, you will find information about the chickwts data set which pertains to Chicken Weights by Feed Type. The chickwts data set is found in the datasets R package. Try to load the chickwts data set in R by issuing the following command at the console data("chickwts"). This may load the data into a variable called chickwts. If R says the chickwts data set is not found, you can try installing the package by issuing this command install.packages("datasets") and then attempt to reload the data with library("datasets") followed by data("chickwts"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing chickwts at the command-line which should display the entire dataset. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the chickwts R data set. The size of this file is about 1,053 bytes. Chicken Weights by Feed TypeDescriptionAn experiment was conducted to measure and compare the effectiveness of various feed supplements on the growth rate of chickens. Usagechickwts FormatA data frame with 71 observations on the following 2 variables.
DetailsNewly hatched chicks were randomly allocated into six groups, and each group was given a different feed supplement. Their weights in grams after six weeks are given along with feed types. SourceAnonymous (1948) Biometrika, 35, 214. ReferencesMcNeil, D. R. (1977) Interactive Data Analysis. New York: Wiley. Examplesrequire(stats); require(graphics) boxplot(weight ~ feed, data = chickwts, col = "lightgray", varwidth = TRUE, notch = TRUE, main = "chickwt data", ylab = "Weight at six weeks (gm)") anova(fm1 <- lm(weight ~ feed, data = chickwts)) opar <- par(mfrow = c(2, 2), oma = c(0, 0, 1.1, 0), mar = c(4.1, 4.1, 2.1, 1.1)) plot(fm1) par(opar) -- Dataset imported from https://www.r-project.org. |
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R Output | Date |
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Picostat Output - Pie chart For Contingency Table | Dec 9, 2022 |
Picostat Output - Simple Linear Regression | Dec 9, 2022 |
Picostat Output - Simple Linear Regression | Dec 9, 2022 |
Picostat Output - Visual Summaries | Dec 9, 2022 |
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