vandenman
About
- Username
- vandenman
- Joined
- Visits
- 58
- Last Active
- Roles
- Member
Comments
-
Hi, Would a filter like the one below work? https://forum.cogsci.nl/uploads/489/G5KYPVNEEL1F.png This excludes participants that have one or more NAs in the items. If you want to exclude them only if all values are missing, then change the | to a …
-
Hi TJ, Thanks for bringing this up. Your report is spot on, we're using the same input field for the g of the g-prior and the alpha for the hyper-g priors. However, this is indeed overly restrictive. I'll update this for the next release so that th…
-
Hi Paul, Right now there is no built-in way to do this. You could create a new variable that is an interaction of the two independent variables and then use that as a grouping variable in descriptives. Alternatively, you could look at the descripti…
-
But, now, I need those numbers to be transformed into a categorical variable where 3,4,5 means NonLonely and 7,8,9 means Severely Lonely. This means skipping the scores that are a 6 as I need to go for the extremes for the second round of ANOVAs (re…
-
That's a good point. But how exactly that is implemented is specific to the method that is used. For example, in Bayesian linear regression, we automatically account for model complexity. In the frequentist counterpart, however, we would indeed need…
-
There is no good support for polynomial regression yet, but you could use computed columns to manually create variables raised to a power and then include those in the analyses. This means the polynomials are not orthogonal, but if the order is not …
-
Well, the drag and drop is under the hood translated to R code. If you want, this can be shown to you. In R, many operations (e.g., +, -, *, /) are vectorized if the vectors have the same length. For example, you can add two vectors. So to compute t…
-
I'm not sure what jamovi does, but in R we simply execute the R code and try to use the return value. So if this is the dataset loaded in JASP: mydata = data.frame( person = c(1, 2, 3), q = c(10, 100, 1000), r = c(20, NA, 2000), s = c(30,…
-
Hi Ananda, You could create multiple computed columns, one for each new variable you want. If that is not what you meant, could you provide an example? Best, Don
-
Hi Johan, Sorry for the tardy reply, I looked into what was going on here, but promptly forgot to leave a message. The CIs in the plots account for differences in within and between factors. The descriptives table, however, does not take this into …
-
This should be fixed in the upcoming release, a pull request was just merged that corrected this bug.
-
Hi Mircea, That indeed looks like a bug, thanks for bringing it to our attention! I will keep you posted when it is resolved. Don
-
Hi Berenike, You can do this with a computed column and the ifElse function. https://forum.cogsci.nl/uploads/603/X31PP1I2OWPL.png Note that for the condition (the first argument to ifElse), you must first drag the comparison operator (for example, …
-
Hi Per, No worries! The key is to realize that the two statements are nested, so it is actually one statement like so: ifElse(facFive <= 2, 1, ifElse(facFive <= 3, 2, 3)) We can also see this as a decision tree, like below: https://forum.cogs…
-
Hi, As far as I know, it's only possible to use LaTeX in annotations, e.g., here: https://forum.cogsci.nl/uploads/402/ZEAHP4JIG52V.png you could try subscripts that are supported by Unicode (see https://en.wikipedia.org/wiki/Unicode_subscripts_and…
-
Hi, The mode is currently computed as if all variables are continuous. This is a mistake and will be fixed in the next version of JASP, where it will be computed differently for ordinal and nominal data. Cheers, Don
-
No worries, you can do it like so with the GUI: https://forum.cogsci.nl/uploads/254/N7FRO0B8YFOQ.png But if you ever have many more categories the nested ifelse statements might become a bit cumbersome. You can also write R code directly if you clic…
-
Hi! How about this? https://forum.cogsci.nl/uploads/166/JV7GLG8J02BU.png If "Other" always has the same capitalization then this should work. Otherwise, it's also possible to use nested `ifElse` statements, but that becomes a bit messy. Le…
-
We don't have the R package stringdist available so that unfortunately won't work. Nevertheless, I asked chatGPT and it suggested the following: levenshtein_distance <- function(str1, str2) { len1 <- nchar(str1) len2 <- nchar(str2) # Cr…
-
The analysis has been renamed to "Neighborhood-based" https://forum.cogsci.nl/uploads/459/DJ20296XRW0C.png Because it is now also possible to use either "Means", "Medians", or "Medioids" to cluster: https://fo…
-
Hi Rakesh, This is certainly a good idea, but at least right now, it is out of the scope of the module. However, for feature requests please create an issue on GitHub (see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/). It is e…
-
Hi, I think something like the filter in the screenshot should do what you want: https://forum.cogsci.nl/uploads/966/BX62R1INP366.png If you prefer to do this with R code, you would type something like: (contNormal <= .5) & (facExperim == &q…
-
Hi Søren, This is not possible to do within JASP right now, but in R you could use the package BayesFactor and the use the posterior function to obtain samples. Afterward, you could use e.g., eta_squared_posterior to obtain an effect size measure…
-
It's not just "pseudo R" coding, it's just plain R code with some restrictions (for example, some functions are not allowed). We do make some custom functions available, like z-score transformations, but in principle, with the R option you…
-
Hi PerPalmgren, Unfortunately, it did not make it. It is now in the development version of jasp (so also in the nightlies) and it should also be in the next release. Best, Don
-
Could you share the jasp file or a screenshot? Also, which operating system are you using? Don
-
Hi Julia, The pairwise post-hoc tests are simply independent t-tests with a correction for multiple testing. So including or excluding a covariate does indeed not impact the results. As far as I know, we currently do not offer a way to include cova…
-
Hi PerPalmgren, Thanks for pointing this out. It looks like we used a different method to compute the VIF than the other programs. The results were the same when there are only continuous variables, but as soon as there are categorical predictors (…
-
Hi Nick, This should be fixed in 0.17.1! Cheers, Don
-
Hi Saskia, My apologies for the late reply. Currently, it's not possible to do this in JASP. If you'd like to see this in a future version of JASP please open an issue at https://github.com/jasp-stats/jasp-issues/ (see also https://jasp-stats.org/f…