Reproducible Data Analysis
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One example of these problems is shown every time we load tidyverse:
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You will see a new button in RStudio: 
Reading data from fileCountryNamePhonenumber
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Descriptive StatisticsCentral tendencyMeasures of variance
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{Copyright Allison
Horst}
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Or even specify the exact intervals we want, here intervals from 0 to
6500 gram in intervals of 250 gram:
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The histogram provides us with a visual indication of both range, the
variation of the values, and an idea about where the data is
located.
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den skal vi nok have beskrevet lidt mere.
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Table One
Tidy Data
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The normal distribution
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The area under the curve is 1,
equivalent to 100%.
Testing for normality
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How is the data distributed?
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Linear regression
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They are relatively close to normal.
Multiple Linear Regression
Logistisk regressionfit modellenkoefficienter og p-værdierpredict
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Funktionen ser således ud:
Central Limit Theorem
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This is definitely not normally distributed.
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Nicer barcharts
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It is not strictly necessary to remove the label of the x-axis, but it
is superfluous in this case.
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This facilitates the reading of the graph - it becomes very easy to see
that the most frequent species of penguin is Adelie penguins.
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We also changed the scaling of the title of the plot. The size of that
is now 10% larger than the base size. We can do that by specifying a
specific size, but here we have done it using the rel()
function which changes the size relative to the base font size in the
plot.
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We control what is happening on the x-scale by using the family of
scale_x functions. Because it is a continuous scale, more
specifically scale_x_continuous().
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First we change the default theme of the plot from
theme_grey to theme_minimal, which gets rid of
the grey background. In the additional theme() function we
remove the gridlines, both major and minor gridlines, on the y-axis, by
setting them to the speciel plot element
element_blank()
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powerberegninger
k-means
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There is obviously a cluster centered around (0,0). And another cluster
more or lesss evenly spread around it.
Factor Analysis
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The rule of thumb is that we reject factors with an eigenvalue lower
than 1.0.
structure-you-work
fence-test
design-principles
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Do the gridlines add value to the plot? In general the answer is no, and
we have better ways of adding the value they might bring.
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