jpinelo - 1 year ago 83

R Question

I'm trying to produce scatterplots with regression equation and r2 for grouped data.

I can do one, but with grouped data I'm finding trouble when calculating the equations and r2 for all groups in a way that can be automatically extracted and added as annotation.

I believe that I'm pretty close, just making some silly mistake but can't seem to identify it.

1 - First I create a function that creates a model and the string of characters with the results.

`library(dplyr)`

eqlabels <- function(iris){

m <- lm(Sepal.Length ~ Sepal.Width, iris);

eq <- substitute(italic(y) == a + b * italic(x) * "," ~~ italic(r) ^ 2 ~ "=" ~ r2,

list(a = format(coef(m)[1], digits = 3),

b = format(coef(m)[2], digits = 3),

r2 = format(summary(m)$r.squared, digits = 2)))

as.character(as.expression(eq));

}

I came as far as this, but on step 2 it all breaks down:

2 - Now I must use the function on the grouped data.

This post suggests the use of ddply (from plyr package). I tried to replace that with something equivalent from the dplyr package, as suggested here.

`labelsP3 <- iris %>% group_by(Species) %>% do(eqlabels(.))`

However, this results in warning message (and then it does not plot...):

Warning message:

Error: Results are not data frames at positions: 1, 2, 3

As suggested here, I tried:

`labelsP3 <- iris %>% group_by(Species) %>% do(with(eqlabels(iris)))`

But this results in error:

Error in eval(substitute(expr), data, enclos = parent.frame()) :

invalid 'envir' argument of type 'character'

The plotting should be fine like this, but I'm stuck at this stage.

`plot3 <- ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width)) + geom_point(colour = "grey60") +`

facet_grid(Species ~ .) +

stat_smooth(method = lm) +

annotate("text", label = labelsP3, parse = TRUE)

Thank you.

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Answer Source

Alrighty let's try this again:

do the following:`labelsP3<-ddply(iris,.(Species),eqlabels)`

that will get you your equations:

```
Species
1 setosa italic(y) == "2.64" + "0.69" * italic(x) * ","
~italic(r)^2 ~ "=" ~ "0.55"
2 versicolor italic(y) == "3.54" + "0.865" * italic(x) * "," ~
~italic(r)^2 ~ "=" ~ "0.28"
3 virginica italic(y) == "3.91" + "0.902" * italic(x) * "," ~
~italic(r)^2 ~ "=" ~ "0.21"
```

Now that you have the equations, you should easily be able to plot them on your graph

you can then use this to graph the equations on your plot

```
geom_text(data=labels3, aes(label=V1, x=7, y=2), parse=TRUE)
```

**EDIT: THIRD TIME IS A CHARM**

So after a lots of trial and error I got it to work, I still get a warning but at least it's a step in the right direction. As I suspected earlier, you have to use `as.data.frame`

, like so: `labelsP3 <- iris %>% group_by(Species) %>% do(as.data.frame(eqlabels(.)))`

you get the following output:

```
Source: local data frame [3 x 2]
Groups: Species [3]
Species eqlabels(.)
(fctr) (chr)
1 setosa italic(y) == "2.64" + "0.69" * italic(x) * "," ~
~italic(r)^2 ~ "=" ~ "0.55"
2 versicolor italic(y) == "3.54" + "0.865" * italic(x) * "," ~
~italic(r)^2 ~ "=" ~ "0.28"
3 virginica italic(y)
== "3.91" + "0.902" * italic(x) * "," ~ ~italic(r)^2 ~ "=" ~ "0.21"
```

Does that help you??

**UPDATE:**

For the plotting part you can do it as follow:

```
plot3 <- ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width)) + geom_point(colour = "grey60") +
facet_grid(Species ~ .) +
stat_smooth(method = lm) +
geom_text(data=labelsP3, aes(label=`eqlabels(.)`, x=7, y=2), parse=TRUE)
```

the x and y is geom_text is for the placement of the label on the graph.

or this even looks a bit better:

```
plot3 + geom_text(data=labelsP3, aes(label=`eqlabels(.)`, vjust = -1, +
hjust=-0.5,x=4, y=0), parse=TRUE)
```

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