ggplot2 plots not showing in Plots pane

[JObar]

I am fairly new to R, so I'm sorry if this is an obvious or basic question. I am trying to create a scatterplot of salinity over the course of one year. I executed this code line by line, but when I run ggplot, the only thing that appears in the Plots pane is a grey rectangle where the plot would usually be. I am currently using the latest update of RStudio.

I have already restarted RStudio and used dev.off(). I'm not sure what's going on.

'''
##Reset R's brain
rm(list=ls())

#set working directory
setwd("C:/Users/jelli/OneDrive/Documents/Rprojects/Thesis")

getwd()

#----------------------------------------------------------------------##
#set up data

thesisdata <- read.csv("Jo_TidalCreeks_practice.csv")

ls()
thesisdate <- as.Date(thesisdata$date, format = "%m/%d/%Y")

#------------------------------------------
ggplot TRIAL
#-------------------------------------------
p <- ggplot(aes(thesisdate, thesisdata$salinity, color=thesisdata$stream_location) +
geom_point() +
facet_grid(rows = vars(thesisdata$water_system), cols = vars(thesisdata$session),
scales = "free") +
theme_classic())

print(p)

'''

[Matthias]

A screenshot isn't very useful, try to give us a better dataset following this isntruction:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

Second: The dataset comes outside the aes() and you don't have to use the dollar-notation but can call the columns directly, also you need to define a x and y value for geom_point()

p <- ggplot(thesisdate, 
            aes(x = date ,  # (???)
                y = salinity, color=stream_location) +
geom_point() +
facet_grid(rows = vars(water_system), cols = vars(session),
           scales = "free") +
theme_classic())

[JObar]

@Matthias

p <- ggplot(thesisdate, 
            aes(x = date ,  # (???)
                y = salinity, color=stream_location) +
geom_point() +
facet_grid(rows = vars(water_system), cols = vars(session),
           scales = "free") +
theme_classic())

When I run this code, I get an error.

'''
Error in ggplot():
! mapping should be created with aes().
You've supplied a object
Run rlang::last_trace() to see where the error occurred.

Backtrace:
▆

1. ├─ggplot2::ggplot(...)
2. └─ggplot2:::ggplot.default(...)
3. └─cli::cli_abort(...)

4. └─rlang::abort(...)
   

'''

What does this mean? I'm not sure where the error is.

[Matthias]

did you add the correct column that should be plotted on x?
also I missed another error in your example, one closing parenthesis is at the wrong position.
try this:

p <- ggplot(thesisdate, 
            aes(x = date ,  # ???
                y = salinity, color=stream_location)) +
geom_point() +
facet_grid(rows = vars(water_system), cols = vars(session),
           scales = "free") +
theme_classic()

if this doesn't work, try without the facet_grid() first.

[EconProf]

thesisdate appears to be a vector while thesisdata is a data frame. I think that thesisdata should be the first argument in ggplot(), not thesisdate.

Rather than create a new vector, convert the existing date variable in the thesisdata data frame to the Date format

thesisdata <- read.csv("Jo_TidalCreeks_practice.csv")
thesisdata$date <- as.Date(thesisdata$date, format = "%m/%d/%Y")

[JObar]

This worked! Thank you so much!