Open CherylPain opened 1 month ago
tomtomme
commented
1 week ago To reproduce and understand this error: Could you share your .jasp-file by renaming to .zip and drag and dropping it here? thx
I am from the issue-collaborator team, but without access to the eMail you send the file to.
CherylPain
commented
4 days ago Hi sorry for the delay, I have just handed in my masters dissertation (yesterday), so have lost track of emails. I'm not sure which file it was now, and can't find a trace of the email I sent you, Maybe thats because it was through the website, I'm not sure. I'm also not sure if the issue was resolved when I updated the software, or how I got around it. From the name of this file I just found, I think it may be this one.
Thank you.
Cheryl LMM data - sent to JASP.zip https://drive.google.com/file/d/1XmOqV51XqNmD2NvVl29QJgtJsdQKAbuQ/view?usp=drive_web
On Mon, Sep 2, 2024 at 10:09 AM Thomas Langkamp @.***> wrote:
To reproduce and understand this error: Could you share your .jasp-file by renaming to .zip and drag and dropping it here? thx
I am from the issue-collaborator team, but without access to the eMail you send the file to.
— Reply to this email directly, view it on GitHub https://github.com/jasp-stats/jasp-issues/issues/2869#issuecomment-2324220010, or unsubscribe https://github.com/notifications/unsubscribe-auth/BKODL3IAMGOMVTJS7MNRXTLZUQTNVAVCNFSM6AAAAABMJVSDHCVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDGMRUGIZDAMBRGA . You are receiving this because you authored the thread.Message ID: @.***>
JASP Version
0.19.0
Commit ID
No response
JASP Module
Mixed Models
What analysis are you seeing the problem on?
Bayesian Linear Mixed Models
What OS are you seeing the problem on?
Windows 11
Bug Description
I have entered the same variables as attempted in the classical version of LMM, however, the analysis isn't running, and gives me the following output: This analysis terminated unexpectedly.
Error in ref_grid(object = NULL, data = structure(list(PreAcc = c(2, : Can't handle an object of class 'NULL' Use help('models', package = 'emmeans') for information on supported models.
Stack trace tryCatchOne(expr, names, parentenv, handlers[[1]])
doTryCatch(return(expr), name, parentenv, handler)
withCallingHandlers(expr = analysis(jaspResults = jaspResults, dataset = dataset, options = options), error = .addStackTrace)
analysis(jaspResults = jaspResults, dataset = dataset, options = options)
.mmRunAnalysis(jaspResults, dataset, options, 'BLMM')
.mmTrends(jaspResults, dataset, options, type)
emmeans::emtrends(object = trendsModel, data = trendsDataset, specs = unlist(options$trendsVariables), var = unlist(options$trendsTrendVariable), at = trendsAt, options = list(level = trendsCI), lmer.df = if (trendsType = 'LMM') trendsDf)
do.call('ref_grid', c(rgargs))
ref_grid(object = NULL, data = list(PreAcc = c(2, 4, 2, -20, -25, 2, -30, -9, -3, 9, -5, -3, 41, -36, 3, 17, 22, -15, -55, 5, -5, 15, -8, -6, -3, -3, -3, 6, 0, 0, -70, 35, -15, -83, 14, 25, -11, -24, 30, 15, 3, -22, 25, -13, -36, 25, 25, -30, 0, -12, 5, 5, 50, -55, -40, -73, 15, -11, -7, -2, -60, 3, -10, 20, -10, -20, 8, -6, -10, -3, -5, 6, 10, 11, 7, -45, 0, -10, 22, -18, 13, -6, -22, 2, -26, 29, -2, -35, -5, 0), Expectation = c(0, 0, 0, 110, 95, 57, 40, 11, 3, 10, 17, 10, 66, 108, 73, 80, 90, 110, 70, 20, 25, 20, 15, 10, 10, 7, 3, 14, 14, 14, 100, 50, 50, 107, 30, 46, 155, 154, 115, 10, 20, 22, 55, 65, 71, 35, 50, 95, 60, 50, 10, 35, 50, 80, 105, 120, 30, 70, 65, 71, 120, 17, 20, 40, 50, 70, 70, 76, 65, 126, 36, 26, 10, 12, 10, 125, 60, 60, 86, 107, 89, 25, 25, 10, 69, 48, 74, 90, 60, 45), PARTICIPANT = c(2, 2, 2, 5, 5, 5, 10, 10, 10, 13, 13, 13, 15, 15, 15, 19, 19, 19, 20, 20, 20, 23, 23, 23, 25, 25, 25, 28, 28, 28, 1, 1, 1, 3, 3, 3, 6, 6, 6, 8, 8, 8, 11, 11, 11, 14, 14, 14, 17, 17, 17, 21, 21, 21, 26, 26, 26, 27, 27, 27, 4, 4, 4, 7, 7, 7, 9, 9, 9, 12, 12, 12, 16, 16, 16, 18, 18, 18, 22, 22, 22, 24, 24, 24, 29, 29, 29, 30, 30, 30), TRIAL = c(1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3), PRIME = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3)), at = list(Expectation = c(14.5625687591264, 53.3222222222222, 92.081875685318)), options = list(level = 0.95, just.data = TRUE), lmer.df = NULL)
stop(data)
To receive assistance with this problem, please report the message above at: https://jasp-stats.org/bug-reports
Expected Behaviour
The analysis should have run
Steps to Reproduce
1.Bayesian Linear Mixed Model
Log (if any)
I have emailed this to you as I can't seem to upload it. My email is cheryl.williams@port.ac.uk. Thank you.
More Debug Information
This analysis terminated unexpectedly.
Error in ref_grid(object = NULL, data = structure(list(PreAcc = c(2, : Can't handle an object of class 'NULL' Use help('models', package = 'emmeans') for information on supported models.
Stack trace tryCatchOne(expr, names, parentenv, handlers[[1]])
doTryCatch(return(expr), name, parentenv, handler)
withCallingHandlers(expr = analysis(jaspResults = jaspResults, dataset = dataset, options = options), error = .addStackTrace)
analysis(jaspResults = jaspResults, dataset = dataset, options = options)
.mmRunAnalysis(jaspResults, dataset, options, 'BLMM')
.mmTrends(jaspResults, dataset, options, type)
emmeans::emtrends(object = trendsModel, data = trendsDataset, specs = unlist(options$trendsVariables), var = unlist(options$trendsTrendVariable), at = trendsAt, options = list(level = trendsCI), lmer.df = if (trendsType = 'LMM') trendsDf)
do.call('ref_grid', c(rgargs))
ref_grid(object = NULL, data = list(PreAcc = c(2, 4, 2, -20, -25, 2, -30, -9, -3, 9, -5, -3, 41, -36, 3, 17, 22, -15, -55, 5, -5, 15, -8, -6, -3, -3, -3, 6, 0, 0, -70, 35, -15, -83, 14, 25, -11, -24, 30, 15, 3, -22, 25, -13, -36, 25, 25, -30, 0, -12, 5, 5, 50, -55, -40, -73, 15, -11, -7, -2, -60, 3, -10, 20, -10, -20, 8, -6, -10, -3, -5, 6, 10, 11, 7, -45, 0, -10, 22, -18, 13, -6, -22, 2, -26, 29, -2, -35, -5, 0), Expectation = c(0, 0, 0, 110, 95, 57, 40, 11, 3, 10, 17, 10, 66, 108, 73, 80, 90, 110, 70, 20, 25, 20, 15, 10, 10, 7, 3, 14, 14, 14, 100, 50, 50, 107, 30, 46, 155, 154, 115, 10, 20, 22, 55, 65, 71, 35, 50, 95, 60, 50, 10, 35, 50, 80, 105, 120, 30, 70, 65, 71, 120, 17, 20, 40, 50, 70, 70, 76, 65, 126, 36, 26, 10, 12, 10, 125, 60, 60, 86, 107, 89, 25, 25, 10, 69, 48, 74, 90, 60, 45), PARTICIPANT = c(2, 2, 2, 5, 5, 5, 10, 10, 10, 13, 13, 13, 15, 15, 15, 19, 19, 19, 20, 20, 20, 23, 23, 23, 25, 25, 25, 28, 28, 28, 1, 1, 1, 3, 3, 3, 6, 6, 6, 8, 8, 8, 11, 11, 11, 14, 14, 14, 17, 17, 17, 21, 21, 21, 26, 26, 26, 27, 27, 27, 4, 4, 4, 7, 7, 7, 9, 9, 9, 12, 12, 12, 16, 16, 16, 18, 18, 18, 22, 22, 22, 24, 24, 24, 29, 29, 29, 30, 30, 30), TRIAL = c(1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3), PRIME = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3)), at = list(Expectation = c(14.5625687591264, 53.3222222222222, 92.081875685318)), options = list(level = 0.95, just.data = TRUE), lmer.df = NULL)
stop(data)
To receive assistance with this problem, please report the message above at: https://jasp-stats.org/bug-reports
Final Checklist