Computational Concept Map

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DATA ANALYSIS

由Ana Ola

Math for Elementry Teachers

由Rebecca Gabbert

[Design Map of the Dog]

由Richard Joyner

MLA Guidelines

由OMAR ALI

Computational Concept Map

Formatting Text

> x

Block quote

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Nested List

*x

Bullet point

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Title sizes

*x*

Italicize

**x**

Bold

Create Things

table()

creates a table

seq()

creates sequences

Subtopic

data.frame()

creates a data frame

colnames()

set row or column names

Data info

head()

view first or last parts of something

dim()

shows dimensions

unique()

shows unique elements

library()

load and add packages

Operators and Some Arithmetic Functions

Miscellaneous

%*%

Multiply matrix with transpose

:

Series of numbers

%in%

Shows if element is in a vector

Assignment

Assign Values

Right Assignment

->>

->

Left Assignment

=

<<−

<−

Logical

||

&&

Says true if both elements are true

|

Gives true if one element is true

!

Opposite logical value

&

Says true if elements are both true

Relational

!=

Shows if something is unequal

>=

Shows greater than or equal

<=

Shows less than or equal

==

Shows if elements are equal

<

Shows less than

>

Shows greater than

Arithmetic

/

divide

+

adds

-

subtract

*

multiply

^

Rasie to an exponent

%%

Remainder

%/%

Divide first vector from second quotient

sqrt()

sqaure root function

abs()

absolute value function

sample()

generate random number

Return Numeric Values and Info of Data

t.test()

one and two sample t-tests

cor.test()

tests for corellation

length()

shows length of vectors

mean()

gives mean

median()

sample median

fivenum()

returns minimum, lower-hinge, median, upper-hinge, maximum

Manipulate Data

filter()

subset and filter rows

rep()

replicates values

as_tibble()

transforms object into a tibble

lapply()

return list of same length as original input

vapply()

Similar to sapply but allows argument for specific returns

tapply()

applies other functions across groups

Sapply()

same as lapply but returns a vector or matrix

cbind()

combine columns or rows

rbind()

combine by columns or rows

summarize()

see a summary of data in a specific column

mutate()

create new columns and add them

pivot_longer()

increase rows and decrease columns

arrange()

reorder or order rows by a specific column

select()

select columns and specify order and what's included

group_by()

turns existing table into a grouped table

Plotting and Visualizing

heatmap()

creates a heatmap

ggtitle()

adds a title to a plot

labs()

creates plot labels

geom_smooth()

helps see patterns

geom_boxplot

create boxplots

geom_point()

used to create scatterplots

aes()

adds aesthetic to plot

abline()

adds a line to a plot

barplot()

creates barplots

ggplot()

create plot and add layers

qplot()

quick plotting

plot()

generic plotting