R Dataset / Package boot / paulsen
On this Picostat.com statistics page, you will find information about the paulsen data set which pertains to Neurotransmission in Guinea Pig Brains. The paulsen data set is found in the boot R package. Try to load the paulsen data set in R by issuing the following command at the console data("paulsen"). This may load the data into a variable called paulsen. If R says the paulsen data set is not found, you can try installing the package by issuing this command install.packages("boot") and then attempt to reload the data with library("boot") followed by data("paulsen"). 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 paulsen 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 paulsen R data set. The size of this file is about 1,448 bytes.
Neurotransmission in Guinea Pig Brains
Sections were prepared from the brain of adult guinea pigs. Spontaneous currents that flowed into individual brain cells were then recorded and the peak amplitude of each current measured. The aim of the experiment was to see if the current flow was quantal in nature (i.e. that it is not a single burst but instead is built up of many smaller bursts of current). If the current was indeed quantal then it would be expected that the distribution of the current amplitude would be multimodal with modes at regular intervals. The modes would be expected to decrease in magnitude for higher current amplitudes.
This data frame contains the following column:
The data were kindly made available by Dr. O. Paulsen from the Department of Pharmacology at the University of Oxford.
Paulsen, O. and Heggelund, P. (1994) The quantal size at retinogeniculate synapses determined from spontaneous and evoked EPSCs in guinea-pig thalamic slices. Journal of Physiology, 480, 505–511.
Davison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods and Their Application. Cambridge University Press.
Dataset imported from https://www.r-project.org.
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