R Dataset / Package mosaicData / HeatX

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How To Compute the Mean

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How to Compute the Median

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-mosaicdata-heatx.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-65754.csv 238 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the HeatX data set which pertains to Data from a heat exchanger laboratory. The HeatX data set is found in the mosaicData R package. You can load the HeatX data set in R by issuing the following command at the console data("HeatX"). This will load the data into a variable called HeatX. If R says the HeatX data set is not found, you can try installing the package by issuing this command install.packages("mosaicData") and then attempt to reload the data. 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 HeatX R data set. The size of this file is about 238 bytes.

Documentation

Data from a heat exchanger laboratory

Description

These data were collected by engineering students at Calvin College. The apparatus consists of concentric pipes insulated from the environment so that as nearly as can be managed the only heat exchange is between the hot and cold water.

Usage

data(HeatX)

Format

A data frame with 6 observations on the following variables.

  • trial trial number

  • T.cold.in temperature (C) of the cold water as it enters the apparatus

  • T.cold.out temperature (C) of the cold water as it leaves the apparatus

  • m.cold flow rate (L/min) of the cold water

  • T.hot.in temperature (C) of the hot water as it enters the apparatus

  • T.hot.out temperature (C) of the hot water as it leaves the apparatus

  • m.hot flow rate (L/min) of the hot water

Examples

# We can test for heat exchange with the environment by check to see if the 
# heat gained by the cold water matches the heat lost by the hot water.
C_p <- 4.182 / 60  # / 60 because measureing m in L/min
HeatX2 <- transform(HeatX, 
                Q.cold = m.cold * C_p * (T.cold.out - T.cold.in),
                Q.hot= m.hot * C_p * (T.hot.out- T.hot.in)
)
HeatX2 <- transform(HeatX2, Q.env = Q.cold + Q.hot)
if (require(mosaic)) {
  stripplot( ~ Q.env, data=HeatX2, alpha=.6, cex=2, jitter.data=TRUE, factor=4)
  t.test( ~Q.env, data = HeatX2 )
}
--

Dataset imported from https://www.r-project.org.

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