Dashboard

Sticky Name Description
Numerical Summaries
Computes the mean, standard deviation, variance, IQR, quartiles, and also the minimum and maximum. A stem-and-leaf plot is also provided.
Simple Linear Regression
Fit a simple linear regression model with slope and y-intercept.
Visual Summaries
Plots a frequency histogram, relative frequency histogram, boxplot and single stem-and-leaf plot of a dataset vector.
Arithmetic Mean (Average)
Computes the arithmetic mean (average) of a sample.
Back-to-back Stem and leaf
Creates a basic back-to-back stem-and-leaf plot.
Barplot for Contingency Table
Creates a bar plot with vertical (stacked) bars for a contingency table.
Barplot for Count Data
Plots a single count variable barplot in R.
Bivariate Plot
Plot wo variables on the coordinate axes.
Boxplot(s)
Create (side-to-side) box-and-whisker plot(s) of the given (grouped) values.
Chi-squared Random Samples
Generate random samples from a Chi-squared distribution by specifying the number of observations and degrees of freedom.
Name Authored by Filename File size Changed Authored on File MIME type
Gender and Politics admin dataset-79160.csv 49 bytes June 13, 2017 - 2:31 PM June 12, 2017 - 1:58 PM text/csv
heartTr admin dataset-59284.csv 3.99 KB June 12, 2017 - 10:31 AM June 12, 2017 - 10:27 AM text/csv
Heights and GPA admin dataset-12871.csv 291 bytes June 7, 2017 - 4:44 PM June 7, 2017 - 4:42 PM text/csv
county admin dataset-47806.csv 253.4 KB May 29, 2017 - 2:18 PM May 29, 2017 - 1:58 PM text/csv
email50 admin dataset-81559.csv 3.95 KB May 29, 2017 - 2:18 PM May 27, 2017 - 9:43 AM text/csv
stent30 admin dataset-61804.csv 9.61 KB May 12, 2017 - 8:37 PM May 7, 2017 - 4:25 PM text/csv
stent365 admin dataset-22611.csv 9.56 KB May 7, 2017 - 4:38 PM May 7, 2017 - 12:27 AM text/csv
Uniform(0,100) admin dataset-40927.csv 334 bytes June 12, 2017 - 12:32 AM May 1, 2017 - 9:21 AM text/csv
Airline Safety admin dataset-41414.csv 2.34 KB March 29, 2017 - 4:58 PM March 29, 2017 - 4:51 PM text/csv
White House Staff Salaries 2011 - 2016 admin dataset-17938.csv 285.19 KB May 12, 2017 - 8:39 PM March 28, 2017 - 9:29 PM text/csv

Recent Blog Content

Sticky Title Preview Authored on Authored by
Importing a Dataset in Quadstat, R and SAS

This guide describes how to import a dataset using three statistical software suites, Quadstat, SAS and R.

May 10, 2017 - 10:15 AM admin
OpenIntro Example: Scatterplot of Federal Spending Versus Spending

How does one create a bivariate scatterplot of federal spending versus the poverty rate.

May 29, 2017 - 3:43 PM admin
OpenIntro Example: Importing the email50 dataset

Describes how to import the email50 dataset for the OpenIntro Advanced High School Statistics Course

May 27, 2017 - 9:44 AM admin
OpenIntro Example: Stent Studies with Quadstat, R and SAS

The OpenIntro Textbook uses the stent30 and stent365 datasets. From these datasets the text mentions that the proportion of volunteers with stents who saw a stroke event after a year was larger than the number of volunteers who did not have stent and did not experience a stroke.

May 26, 2017 - 10:05 PM admin
Setting Up With Quadstat

Getting ready for the OpenIntro statistics course with Quadstat.com.

May 8, 2017 - 8:43 AM admin

Recent Queries

VariableValue
Image
RX <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-91192.csv", sep=",", header = TRUE);
dfr <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-91192.csv", sep=",", header = TRUE);
colNam <- colnames(X);
X <- cbind(X[,1], X[,2]);
colnames(X) <- c(colNam[1], colNam[2]);
dfr <- as.data.frame(c(dfr[1], dfr[2]))
png(file = "/tmp/operation-15097-%01d.png", bg = "transparent");
plot(X)
dev.off();
V11
V22
X167
VariableValue
Output[1] 472.5
RX <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-79160.csv", sep=",", header = TRUE);
dfr <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-79160.csv", sep=",", header = TRUE);
colNam <- colnames(X);
X <- cbind(X[,2]);
colnames(X) <- c(colNam[2]);
dfr <- as.data.frame(c(dfr[2]))
mean(as.vector(X))
V12
X662
VariableValue
Output[1] 623
RX <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-79160.csv", sep=",", header = TRUE);
dfr <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-79160.csv", sep=",", header = TRUE);
colNam <- colnames(X);
X <- cbind(X[,1]);
colnames(X) <- c(colNam[1]);
dfr <- as.data.frame(c(dfr[1]))
mean(as.vector(X))
V11
X662
VariableValue
Output[1] 53
RX <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-40927.csv", sep=",", header = TRUE);
dfr <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-40927.csv", sep=",", header = TRUE);
colNam <- colnames(X);
X <- cbind(X[,2]);
colnames(X) <- c(colNam[2]);
dfr <- as.data.frame(c(dfr[2]))
mean(as.vector(X))
V12
X244
VariableValue
Output[1] NA
RX <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-47806.csv", sep=",", header = TRUE);
dfr <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-47806.csv", sep=",", header = TRUE);
colNam <- colnames(X);
X <- cbind(X[,5]);
colnames(X) <- c(colNam[5]);
dfr <- as.data.frame(c(dfr[5]))
mean(X)
V15
X315