About juliaaline

juliaaline · ‎09-01-2018

gzmorgan0, thanks so much for your explanation, I now decided to take the normal probability plots. Just to make sure, on the y-axis there is the normal probability which is at the same time the normal quantiles, right? Also they are general normal quantiles and not in any way modified to fit my data? On the x-axis I put the residuals of a mixed model, so it would not be correct to call the plot a QQ-Plot but only a normal probability plot? Or are the terms not so strict and I could calll that a QQ-Plot, too? Because I feel like my supervisor called that a QQ-plot.. Thanks so much and best wishes, Julia

juliaaline · ‎08-31-2018

Thank you so much that looks great and works fine with my jmp version! Just one last question, aren't normally the quantiles of the residual on the x-Axis and not the actual residuals?

juliaaline · ‎08-30-2018

Thanks so much that looks great! But isn't it that on the x-axis hast to be the quantiles of the residuals or did I get there something wrong?

juliaaline · ‎08-30-2018

I did not chose stack.. By fitting a mixed model I cannot stack or unstack unfortunatley.

juliaaline · ‎08-30-2018

Thank you for your quick response. My plot looks like that too but with the histogram. I cannot uncheck it because I am in the fit model section of a mixed model. I need to create residual plots like that. Is it a normal QQ-Plot with the histogram with the two y-axis'? I need 30 of these for my theses and feel like they do not look like these I have seen in papers. But is there a more efficient way than creating the QQ-Plots myself by adding a normal distribution to my data as a feel like that will take hours I unfortunately do not have left.

juliaaline · ‎08-30-2018

Thank you for your quick response! Thats what my plot looks like, too but with the histogram. But I do not have it in the distribution area but as a residual plot from a mixed model. Is there an easy way to get a normal QQ-Plot? Because I have never seen one like that in a paper. Do you think it is still useable like that or do I need to add a normal distribution to my data and create the QQ-Plot myself? That would be awful because I have to do 30 of these and do not have a lot of time to do that.

juliaaline · ‎08-30-2018

Dear Community, Please help, how do I change the ugly default QQ-Plot in jmp so that it does not have two x-axis and a histgoram but only a normal x- and y-axis?

juliaaline · ‎08-30-2018

Dear community, when copying a graph build in the graph builder the legend that I moved inside the graph appears below the graph. I use the add-in copy without background, but this happens with and without the add-in. Any help would be very much appreciated, as my legend needs to appear within the graph, Julia

juliaaline · ‎08-06-2018

Thanks so much for your time and your detailed response. I want to fit a linear mixed model with both participant and itemnumber as random effects (only intercepts). I cannot explain the trend with the row number, maybe it is because it is sorted by keeyresp at the moment? My supervisor recommended me to do the LMM for the ordinal data, even though technically it is ordinal. I now calculated all models for resp.val with the different transformations and saved the residuals. As all do not follow a normal distribution I would use log as there the normal distribution is at leas at the third place of recommendations. Or is there a way to calculate Box Cox without adding a constant to my values so that they become positive? Unfortunately I cannot attach the file.

juliaaline · ‎08-06-2018

I attached the file. I want to analyse key_resp_1.rt von Teilmenge von Data_total by kongruenz=1 and neg2=0 and its interaction. rating zentr is the regressor I asked about for centering. The question about data transformations is for a second analysis of rating_val1.response as the dependent variable with the same fixed effects. the same for rating_2.response. I wanted to do a reciprocal transformation but this is bad because of the zero values right? after adding a constant the effects change completely. I would now compare log and squrt. My supervisor told me that quadratic transformations shouldnt be used when having negative values. would that hold true for the squrt, too when I added a constant first? I am really truly thankful for you support.

juliaaline · ‎08-06-2018

I split the data afterwards copmaparble to pairwise comparisions to show how the main effect wors for the one subgroup and for the other subgroup. I have got a 2x2 design. Another question I would have is I need to find the best transformation. Box Cox test is not very useful in jmp as it is only useable for positive data (in Fit Model standard least squares) but I have both negative and positive values. I would now compare log, squarert, and reciprocal (after I added 1+minimum) to the data. I already tried Box-Cox with positivized data but as I get a different value every time I add a different constant to my data I feel like this is not very reasonable.

juliaaline · ‎08-06-2018

Thanks for your answer. I do cener them manually, how do I get jmp to do it when using fit model? I use the linear mixed regression model like an Anova. That's why I wil split my data in a second step to solve an interaction. Would I center my regressor for the to sperate groups? I feel like this would be unauthorized but mathematically reasonable.

juliaaline · ‎08-06-2018

Dear community, I have a very urgent question. Do I center a regressor before I exclude outliers from the dependent variable or after? It would change the mean of the regressor because the data points that are an outlier for the dependent variable, their value of the regressor wil not be included in the mean of the regressor that is used to center it. Is there a convention in what order it should be done? I hope I put my question in words correctly. I would apppreciate every hint very much.

juliaaline · ‎08-02-2018

Dear community, I did a linear mixed model full factorial with 2x2. I use the linear mixed model like an ANOVA and I have one significant main effect and a significant interaction effect.To solve the interaction I split my data by one variable and analyze the main effect by the other variable (just like pairwise comparisons) but both my to analyze don't show a significant effect. So why is there a significant interaction then? In the Graph I see that it is nearly a crossed interaction but as no comparison becomes significant I would not expect a significant interaction. Any help would be very much appreciated.

juliaaline · ‎08-01-2018

Thanks a lot that is a great help!

juliaaline · ‎07-22-2018

Dear Community, I have got a question regarding the interpretation of a main and interaction effects of Mixed Model fitted for reaction times. I have to dummy coded variables. I analyse the reading times of sentences. The first variable repesents the valence of the first part of the sentence (positive or negative) while the other is coded the same but for the second part of the sentence. Like this I have got four sentence types. nn, pn, np, pp. I want to test whether congruent (nn, pp) sentences are processed faster that incongruent ones ( np, pn). This effect should also be significant for comparisions like this: nn<np and pp<pn. So my first question is a rather general one. With my coding as it is, can I interpret the main and interaction effects meaningfully? Regarding of the outpout of jmp how would I interpret the results of the tests of the fixed effects? (I am sorry for this basic question, I really already put a lot of thought in that but somehow feel very unsure about the interpretation at the moment) Also would it suffice to interpret the pairwise comparisions? Would it be possible to do a pairwise comparision of two agains two? So like this: nn=pp<pn=np? I really would be very grateful for any hint.

juliaaline · ‎05-18-2018

Dear community, how do I standardize a variable (in this case reaction time data) by another variable (participant)? I tried by looking at the distribution of the first variable by the second variable but did not find such a function and the normal standardize function does not give the option to do it by another variable. Every help would be very much appreiciated! Thanks in advance and kind regards, juliaaline

Date Registered	‎05-18-2018 01:22 PM
Date Last Visited	‎08-22-2020 08:07 PM
Total Messages Posted	17

Online Status	Offline
Date Last Visited	‎08-22-2020 08:07 PM

Re: QQ-Plot double x-axis

Re: QQ-Plot double x-axis

Re: QQ-Plot double x-axis

Re: QQ-Plot double x-axis

Re: QQ-Plot double x-axis

Re: QQ-Plot double x-axis

QQ-Plot double x-axis

When copying graph Legend moves

Re: urgent question: centering regressor - please help

Re: urgent question: centering regressor - please help

Re: QQ-Plot double x-axis

Re: QQ-Plot double x-axis

Re: QQ-Plot double x-axis

Re: QQ-Plot double x-axis

Re: QQ-Plot double x-axis

Re: QQ-Plot double x-axis

QQ-Plot double x-axis

When copying graph Legend moves

Re: urgent question: centering regressor - please help

Re: urgent question: centering regressor - please help

Re: urgent question: centering regressor - please help

Re: urgent question: centering regressor - please help

urgent question: centering regressor - please help

Significant interaction no significant comparision

Re: Add-in to copy graph without window background

Interpretation of Fixed effects Linear Mixed Model Dummy coded variables

Standardize reaction time data by participant