Day 1 work

Author

Violet Jackson

Quarto

Quarto enables you to weave together content and executable code into a finished document. To learn more about Quarto see https://quarto.org.

Running Code

When you click the Render button a document will be generated that includes both content and the output of embedded code. You can embed code like this:

1 + 1

[1] 2

You can add options to executable code like this

[1] 4

The echo: false option disables the printing of code (only output is displayed).

# installing the package

#install.package(psych)

# Loading the package in
library(psych)

#assigning 
"df" <- iris



#create summary table using psych
describe(df)

             vars   n mean   sd median trimmed  mad min max range  skew
Sepal.Length    1 150 5.84 0.83   5.80    5.81 1.04 4.3 7.9   3.6  0.31
Sepal.Width     2 150 3.06 0.44   3.00    3.04 0.44 2.0 4.4   2.4  0.31
Petal.Length    3 150 3.76 1.77   4.35    3.76 1.85 1.0 6.9   5.9 -0.27
Petal.Width     4 150 1.20 0.76   1.30    1.18 1.04 0.1 2.5   2.4 -0.10
Species*        5 150 2.00 0.82   2.00    2.00 1.48 1.0 3.0   2.0  0.00
             kurtosis   se
Sepal.Length    -0.61 0.07
Sepal.Width      0.14 0.04
Petal.Length    -1.42 0.14
Petal.Width     -1.36 0.06
Species*        -1.52 0.07

describe.by(df)

Warning in describe.by(df): describe.by is deprecated.  Please use the
describeBy function

Warning in describeBy(x = x, group = group, mat = mat, type = type, ...): no
grouping variable requested

             vars   n mean   sd median trimmed  mad min max range  skew
Sepal.Length    1 150 5.84 0.83   5.80    5.81 1.04 4.3 7.9   3.6  0.31
Sepal.Width     2 150 3.06 0.44   3.00    3.04 0.44 2.0 4.4   2.4  0.31
Petal.Length    3 150 3.76 1.77   4.35    3.76 1.85 1.0 6.9   5.9 -0.27
Petal.Width     4 150 1.20 0.76   1.30    1.18 1.04 0.1 2.5   2.4 -0.10
Species*        5 150 2.00 0.82   2.00    2.00 1.48 1.0 3.0   2.0  0.00
             kurtosis   se
Sepal.Length    -0.61 0.07
Sepal.Width      0.14 0.04
Petal.Length    -1.42 0.14
Petal.Width     -1.36 0.06
Species*        -1.52 0.07

# this is cross-sectional data