Flashcards in Plotting Deck (35)

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1

## plot(x)

### plot of the values of x (on the y-axis) ordered on the x-axis

2

## plot(x, y)

### bivariate plot of x (on the x-axis) and y (on the y-axis)

3

## hist(x)

### histogram of the frequencies of x

4

## barplot(x)

###
histogram of the values of x; use horiz=FALSE for horizontal

bars

5

## dotchart(x)

###
if x is a data frame, plots a Cleveland dot plot (stacked plots

line-by-line and column-by-column)

6

## pie(x)

### circular pie-chart

7

## boxplot(x)

### “box-and-whiskers” plot

8

## sunflowerplot(x, y)

###
id. than plot() but the points with similar coor-

dinates are drawn as flowers which petal number represents the num-

ber of points

9

## stripplot(x)

###
plot of the values of x on a line (an alternative to

boxplot() for small sample sizes)

10

## coplot(x ̃y | z)

###
bivariate plot of x and y for each value or interval of

values of z

11

## interaction.plot (f1, f2, y)

###
if f1 and f2 are factors, plots the

means of y (on the y-axis) with respect to the values of f1 (on the x-axis) and of f2 (different curves); the option fun allows to choose the summary statistic of y (by default fun=mean)

12

## matplot(x,y)

### bivariate plot of the first column of x vs. the first one of y, the second one of x vs. the second one of y, etc.

13

## fourfoldplot(x)

### visualizes, with quarters of circles, the association be- tween two dichotomous variables for different populations (x must be an array with dim=c(2, 2, k), or a matrix with dim=c(2, 2) if k = 1)

14

## assocplot(x)

### Cohen–Friendly graph showing the deviations from inde- pendence of rows and columns in a two dimensional contingency ta- ble

15

## mosaicplot(x)

### ‘mosaic’ graph of the residuals from a log-linear regres- sion of a contingency table

16

## pairs(x)

### if x is a matrix or a data frame, draws all possible bivariate plots between the columns of x

17

## plot.ts(x)

### if x is an object of class "ts", plot of x with respect to time, x may be multivariate but the series must have the same frequency and dates

18

## ts.plot(x)

### id. but if x is multivariate the series may have different dates and must have the same frequency

19

## qqnorm(x)

### quantiles of x with respect to the values expected under a nor- mal law

20

## qqplot(x, y)

### quantiles of y with respect to the quantiles of x

21

## contour(x, y, z)

###
contour plot (data are interpolated to draw the curves), x and y must be vectors and z must be a matrix so that

dim(z)=c(length(x), length(y)) (x and y may be omitted)

22

## filled.contour(x, y, z)

###
id. but the areas between the contours are

coloured, and a legend of the colours is drawn as well

23

## image(x, y, z)

### id. but with colours (actual data are plotted)

24

## persp(x, y, z)

### id. but in perspective (actual data are plotted)

25

## stars(x)

###
if x is a matrix or a data frame, draws a graph with segments or a

star where each row of x is represented by a star and the columns are

the lengths of the segments

26

## symbols(x, y, ...)

###
draws, at the coordinates given by x and y, sym-

bols (circles, squares, rectangles, stars, thermometres or “boxplots”)

which sizes, colours . . . are specified by supplementary arguments

27

## termplot(mod.obj)

###
plot of the (partial) effects of a regression model

(mod.obj)

28

## add=FALSE

### if TRUE superposes the plot on the previous one (if it exists)

29

## axes=TRUE

### if FALSE does not draw the axes and the box

30