|>
worldbankdata ggplot(aes(sample = Cooking)) +
geom_qq()
Warning: Removed 6047 rows containing non-finite values (`stat_qq()`).
Package
ggplot2 (Wickham 2016)
Description
Draws quantitle-quantile plot.
Understandable aesthetics
required aesthetics
sample
optional aesthetics
group
, x
, y
See also
Example
|>
worldbankdata ggplot(aes(sample = Cooking)) +
geom_qq()
Warning: Removed 6047 rows containing non-finite values (`stat_qq()`).
Package
ggplot2 (Wickham 2016)
Description
Computes the slope and intercept of the line connecting the points at specified quartiles of the theoretical and sample distribution in the quantitle-quantile plot. This geom should be used along with geom_qq to plot to be meaningful.
Understandable aesthetics
required aesthetics
sample
optional aesthetics
group
, x
, y
See also
Example
<- worldbankdata |>
a1 ggplot(aes(sample = Cooking)) +
geom_qq_line() + ggtitle("geom_qq_line only")
<- worldbankdata |>
a2 ggplot(aes(sample = Cooking)) +
geom_qq_line() + geom_qq() + ggtitle("geom_qq_line and geom_qq")
|a2 a1
Package
ggplot2 (Wickham 2016)
Description
Fits and draw quantile regression lines. Quantile regression models the relationship between independent variables and the percentiles of the dependent variable
Understandable aesthetics
required aesthetics
x
, y
optional aesthetics
alpha
, colour
, group
, linetype
, linewidth
, weight
, quantile
, method
See also
Examples
Example 1
<- worldbankdata |>
a1 ggplot(aes(y=Cooking, x = Electricity)) +
geom_quantile() + ggtitle("geom_quantile only")
<- worldbankdata |>
a2 ggplot(aes(y=Cooking, x = Electricity)) +
geom_quantile() +
geom_point() +
ggtitle("geom_quantile and geom_point")
|a2 a1
Example 2
<- seq(0.05, 0.95, by = 0.05)
q <- worldbankdata |>
a3 ggplot(aes(y=Cooking, x = Electricity)) +
geom_quantile(method = "rqss") +
ggtitle("geom_quantile with method rqss")
<- worldbankdata |>
a4 ggplot(aes(y=Cooking, x = Electricity)) +
geom_quantile(method = "rqss") +
geom_point() +
ggtitle("geom_quantile with \n method rqss and geom_point")
|a4 a3