Overlay Geom_Points() on Geom_Boxplot(Fill=Group)

Overlay geom_points() on geom_boxplot(fill=group)?

Use position_dodge() for the points and also add group=group inside aes() of geom_point().

ggplot(data, aes(x=variable, y=value)) +
  geom_boxplot(aes(fill=group)) +
  geom_point(position=position_dodge(width=0.75),aes(group=group))

Overlay geom_points(aes(shape)) on geom_boxplot?

In this case we want the position jittering to be "aware" of the two fill values which are distinguished the the fill aesthetic. Since the shapes here don't have a fill aesthetic, the layer doesn't automatically separate the two fill values before applying the jitter. To make the layer "aware" of the fill values, we could use

geom_point(aes(shape = shape, group = fill), 
               position=position_jitterdodge()) 

where group = fill tells the layer to group the points based on that variable, which will then be reflected in the way the points are jittered.

Overlaying geom_point layer on a geom_boxplot

You need to name the argument data when called within a geom_...() call. Naming arguments is good practice in general (if somewhat timeconsuming)

p1 =ggplot(data = a, aes(x = factor(sector), y = YTD.Retn, fill=factor(sector))) + 
   geom_boxplot() +
  scale_fill_discrete(guide=F) +
  geom_point(data = b, aes(x= factor(sector),y= YTD.Retn))

plot(p1)

Dodge geom_points according to specific boxplot group/color

To dodge your points and align them with the box plots use position = position_dodge(width = .75) where .75 is the default width by which box plots get dodged:

library(ggplot2)

ggplot(diamonds, aes(x = cut, y = carat, color = color)) +
  geom_boxplot(outlier.shape = NA) +
  geom_point(aes(group = color), position = position_dodge(width = .75))

How to overlay Geom_Point and Geom_Boxplot in (ggplot2)

In that case, don't put color in global aesthetics

ggplot(Spheriod, aes(Cellline_Stim, Total.Area)) + 
  geom_boxplot() +
  geom_jitter(aes(color = Experiment.No.), alpha = 0.8)

geom_jitter will make your plot more readable than geom_point

R ggplot geom_points not aligned with boxplot bins

1. Unlike geom_boxplot(), geom_point() doesn't dodge by default -- you need to specify position = position_dodge().

2. This still won't quite work, because there are some NAs in factor -- this will cause your points to be dodged across three groups, which won't align correctly. You can remove the NAs using drop_na(factor).

df <- df %>%
  pivot_longer(cols = c("value1", "value2"), 
               names_to = "new") %>%
  drop_na(factor) %>% 
  group_by(factor, new)

ggplot(df, aes(x = new, y = value, fill = as.factor(factor))) +
  geom_boxplot()+
  geom_point(position = position_dodge(width = .75))

Scatter plot and boxplot overlay

Put color= inside the aes() of geom_point() and remove it from ggplot() aes(). If you put color= inside the ggplot() then it affects all geoms. Also you could consider to use position dodge to separate points.

Example with mtcars data as OP didn't provide data.

ggplot(mtcars,aes(factor(cyl),mpg))+geom_boxplot()+
  geom_point(aes(color=factor(am)),position=position_dodge(width=0.5))

Overlaying jittered points on boxplot conditioned by a factor using ggplot2

Welcome to SO! Here's my attempt. It's a bit clumsy, but does the job. The trick is to map x to a dummy variable with manually constructed offset. I'm adding a fill scale to highlight point positioning.

mtcars$cylpt <- as.numeric(factor(mtcars$cyl)) + ifelse(mtcars$am == 0, -0.2, 0.2)
ggplot(mtcars, aes(factor(cyl), mpg)) + 
  geom_boxplot(aes(fill = factor(am))) + 
  geom_point(aes(x = cylpt, colour = factor(am)), position = "jitter") +
  scale_fill_manual(values = c("white", "gray"))

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