Thank you

this is my code.

data <- c(9,12,10,8,15,

20,21,23,17,30,

6,5,8,16,7)

levels <- factor(rep(c("1","2","3"), each=5))

AA<- data.frame(data,levels)

boxplot(data~levels,AA)

Hi ,I want to draw the box plot. But the graph is odd.How can I solve?

Thank you

this is my code.

Thank you

this is my code.

data <- c(9,12,10,8,15,

20,21,23,17,30,

6,5,8,16,7)

levels <- factor(rep(c("1","2","3"), each=5))

AA<- data.frame(data,levels)

boxplot(data~levels,AA)

How so? The function did was it was intended to do with the arguments it was given. What are you looking for it to do?

When it comes to the second boxplot, the maximum is 30.It is supposed to be a line just like the first one. It should not be a point because it is not a outlier. It caused the same result in third graph too. thank you

Every problem in `R`

can be considered with advantage as an extension of school algebra: f(x) = y. x is what is at hand, y is what is desired, and f is the object (in `R`

*everything* is an object) to transform one to the other.

So, in this example, `AA`

is x, y is a plot object and f is the `boxplot`

function.

The function signature (from `help(boxplot)`

) is

boxplot(formula, data = NULL, ..., subset, na.action = NULL,

xlab = mklab(y_var = horizontal),

ylab = mklab(y_var =!horizontal),

add = FALSE, ann = !add, horizontal = FALSE,

drop = FALSE, sep = ".", lex.order = FALSE)

The temptation to move on, rather than unraveling this, is strong. But, for the time being, most of the arguments have defaults (including, particularly `...`

, which is always optional). What we are really looking at is no more than `formula`

Formula is

a formula, such as y ~ grp, where y is a numeric vector of data values to be split into groups according to the grouping variable grp (usually a factor). Note that ~ g1 + g2 is equivalent to g1:g2.

In terms of `AA`

, the `y`

in the function signature is the first column of AA, and `grp`

is the second.

Next, look at the `value`

that `boxplot`

returns

stats

a matrix, each column contains the extreme of the lower whisker, the lower hinge, the median, the upper hinge and the extreme of the upper whisker for one group/plot. If all the inputs have the same class attribute, so will this component.

So, let's look at it

Where's 30? We know it's in there somewhere. We also know from `summary(AA)`

that it's the maximum value in `AA$dat`

.

Go back and look at the `stats`

return value. What's the `whisker`

? It's the vertical line. It spans a range. If 30 is outside the range, it is not included in the `whisker`

. If not, where is it?

out

the values of any data points which lie beyond the extremes of the whiskers.

Keep in mind that `boxplot`

is being asked to plot *three* boxplots, the ranges of which, and their respective `out`

return values are different. See the end of the `reprex`

below:

```
# avoid naming objects data, as it is a built-in function name
dat. <- c(9,12,10,8,15,
20,21,23,17,30,
6,5,8,16,7)
levels <- factor(rep(c("1","2","3"), each=5))
AA<- data.frame(dat.,levels)
boxplot(dat. ~ levels, data = AA) -> the_object
```

```
str(the_object)
#> List of 6
#> $ stats: num [1:5, 1:3] 8 9 10 12 15 17 20 21 23 23 ...
#> $ n : num [1:3] 5 5 5
#> $ conf : num [1:2, 1:3] 7.88 12.12 18.88 23.12 5.59 ...
#> $ out : num [1:2] 30 16
#> $ group: num [1:2] 2 3
#> $ names: chr [1:3] "1" "2" "3"
the_object$stats
#> [,1] [,2] [,3]
#> [1,] 8 17 5
#> [2,] 9 20 6
#> [3,] 10 21 7
#> [4,] 12 23 8
#> [5,] 15 23 8
the_object$out
#> [1] 30 16
AA
#> dat. levels
#> 1 9 1
#> 2 12 1
#> 3 10 1
#> 4 8 1
#> 5 15 1
#> 6 20 2
#> 7 21 2
#> 8 23 2
#> 9 17 2
#> 10 30 2
#> 11 6 3
#> 12 5 3
#> 13 8 3
#> 14 16 3
#> 15 7 3
```

^{Created on 2020-10-16 by the reprex package (v0.3.0.9001)}

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