R Dataset / Package HSAUR / Lanza

How To Create a Barplot

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Visual
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How To Create a Stacked Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Boxplot

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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

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Hollow Histogram

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Numerical Summaries

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Pie Chart

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Plot

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Ratio

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Regression

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Stem and Leaf Plots

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Visual Summaries

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Submitted by pmagunia on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-hsaur-lanza.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-12469.csv 4.1 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Documentation

On this Picostat.com statistics page, you will find information about the Lanza data set which pertains to Prevention of Gastointestinal Damages . The Lanza data set is found in the HSAUR R package. Try to load the Lanza data set in R by issuing the following command at the console data("Lanza"). This may load the data into a variable called Lanza. If R says the Lanza data set is not found, you can try installing the package by issuing this command install.packages("HSAUR") and then attempt to reload the data with library("HSAUR") followed by data("Lanza"). 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 Lanza 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 Lanza R data set. The size of this file is about 4,195 bytes.


Prevention of Gastointestinal Damages

Description

Data from four randomised clinical trials on the prevention of gastointestinal damages by Misoprostol reported by Lanza et al. (1987, 1988a,b, 1989).

Usage

data("Lanza")

Format

A data frame with 198 observations on the following 3 variables.

study

a factor with levels I, II, III, and IV describing the study number.

treatment

a factor with levels Misoprostol Placebo

classification

an ordered factor with levels 1 < 2 < 3 < 4 < 5 describing an ordered response variable.

Details

The response variable is defined by the number of haemorrhages or erosions.

Source

F. L. Lanza (1987), A double-blind study of prophylactic effect of misoprostol on lesions of gastric and duodenal mucosa induced by oral administration of tolmetin in healthy subjects. British Journal of Clinical Practice, May suppl, 91–101.

F. L. Lanza, R. L. Aspinall, E. A. Swabb, R. E. Davis, M. F. Rack, A. Rubin (1988a), Double-blind, placebo-controlled endoscopic comparison of the mucosal protective effects of misoprostol versus cimetidine on tolmetin-induced mucosal injury to the stomach and duodenum. Gastroenterology, 95(2), 289–294.

F. L. Lanza, K. Peace, L. Gustitus, M. F. Rack, B. Dickson (1988b), A blinded endoscopic comparative study of misoprostol versus sucralfate and placebo in the prevention of aspirin-induced gastric and duodenal ulceration. American Journal of Gastroenterology, 83(2), 143–146.

F. L. Lanza, D. Fakouhi, A. Rubin, R. E. Davis, M. F. Rack, C. Nissen, S. Geis (1989), A double-blind placebo-controlled comparison of the efficacy and safety of 50, 100, and 200 micrograms of misoprostol QID in the prevention of ibuprofen-induced gastric and duodenal mucosal lesions and symptoms. American Journal of Gastroenterology, 84(6), 633–636.

Examples

  data("Lanza", package = "HSAUR")
  layout(matrix(1:4, nrow = 2))
  pl <- tapply(1:nrow(Lanza), Lanza$study, function(indx)
      mosaicplot(table(Lanza[indx,"treatment"], 
                       Lanza[indx,"classification"]),
                 main = "", shade = TRUE))
--

Dataset imported from https://www.r-project.org.
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Picostat Output - Bivariate Plot Nov 2, 2022
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