Hi Laura, the several tcpl functions used in the past to produce the different plotting outputs have now been consolidated into tcplPlot(). Check out some plotting examples and documentation in the data retrieval vignette: https://cran.r-project.org/web/packages/tcpl/vignettes/Data_retrieval.html#plotting. Once you have the desired mc5, you can use tcplPlot to plot by spid/aeid or m4id. Hope this helps!

ep <- "NVS_ENZ_hPDE4A1"
cas <- "1912-24-9"
chem_info <- tcplLoadChem(field = 'casn', val = cas)
assay_info <- tcplLoadAeid(fld = "acnm", val = ep)
mc5 <- tcplLoadData(lvl = 5, type = "mc",
fld = c("aeid","spid"),
val = list(assay_info$aeid,
chem_info$spid))
tcplPlot(lvl = 5,
fld = c("spid","aeid"), # fields to query on
val = list( # value for each field, must be same order as 'fld'
mc5$spid, # sample id's
mc5$aeid # assay endpoint id's
),
by = "aeid", # parameter to divide files
multi = TRUE, # multiple plots per page - output 6 per page if TRUE
verbose = TRUE, # output all details if TRUE
output = "pdf", # output as pdf
fileprefix = "output/upitt") # prefix of the filename

This makes me think that we need to deprecate these old plotting functions with a explanation to switch to the new tcplPlot functionality. They still work for the old schemas but it seems like most people are switching to the 4.1 or greater invitrodb

Perfect, thanks for the tcplPlot code!

Revisiting this issue. I thought I had this working, but now I can't remember what I did. Is there a way to get just the ggplot2 object out of the tcplPlot function? When I run with output = "console" , the "Viewer" opens up (instead of Plots) in RStudio, but nothing appears. Ideally, I'd like to just get the ggplot object so I can play with it from there.

ep <- "NVS_ENZ_hPDE4A1"
cas <- "1912-24-9"

chem_info <- tcplLoadChem(field = 'casn', val = cas)
assay_info <- tcplLoadAeid(fld = "acnm", val = ep)

mc5 <- tcplLoadData(lvl = 5, type = "mc",
                    fld = c("aeid","spid"),
                    val = list(assay_info$aeid,
                               chem_info$spid))

plot_out <- tcplPlot(lvl = 5,
         fld = c("spid","aeid"), # fields to query on
         val = list(mc5$spid, # sample id's
                    mc5$aeid # assay endpoint id's
                    ),
         by = "aeid", # parameter to divide files
         multi = FALSE, 
        verbose = TRUE, # output all details if TRUE
        output = "console") 

plot_out

So, is there a way to set it up that plot_out is a ggplot2 object? Right now it looks like a plotly object, but it's not rendering in my viewer.

packageVersion("tcpl")
[1] ‘3.1.0’

@ldecicco-USGS we're investigating this issue. I think it's 2 parts

1. I think with everyone updating to R version 4.4 plotly is broken in rstudio and
2. we don't have an option for users to output just the ggplot2 object

I think your use case warrants creating an option in the output so you can get the ggplot2 object

I did just update to 4.4, so that tracks.

I would definitely vote having a ggplot output option. Plotly's nice for some things, but being able to take the ggplot output and customize it is something I would do (maybe just change a theme or add an annotation or who knows what)

Agreed, we will use this ticket to add ggplot output as an option.

FYI for the 4.4 issues.
rstudio/rstudio#14603

Any updates to getting ggplot2 outputs? I'd really like to include the ACC value on the plots or make other customizations.

Hi @ldecicco-USGS, thank you for the suggestion! The requested changes are now in a pull request (#275) and available for testing out on this branch "215-add-ggplot-output-option-to-tcplPlot".

To work with the ggplot output, simply set output = "ggplot" and save the result to your environment.

@ldecicco-USGS have you been able to successfully use this branch?

Yup, looks good!

plot_out <- tcplPlot(#lvl = 5,
         fld = c("spid", "aeid"),#c("spid","aeid"), # fields to query on
         val = list( # value for each field, must be same order as 'fld'
           mc5$spid, # sample id's
           mc5$aeid # assay endpoint id's
         ),
         by = "aeid", # parameter to divide files
         multi = TRUE, # multiple plots per page - output 6 per page if TRUE
         verbose = FALSE, # output all details if TRUE
         output = "ggplot")

plot_out + ggtitle("My new title")