jamovi already has a number of data-editing features available; enter data directly in the spreadsheet view, change between different variable types, re-order levels in factors, compute new variables — what’s more, all of your analyses update in real-time to these changes. Still need more data-editing? Recoding, filtering, searching are all in development.
jamovi currently already provides a whole toolbox of easy to use analyses:
- Descriptive statistics
- Repeated Measures ANOVA
- Non-parametric ANOVA's
- Linear regression
- Binomial logistic regression
- Binomial test
- Goodness of fit
- Contingency tables
- Reliability analysis
- Principal component analysis (PCA)
- Exploratory factor analysis (EFA)
- Confirmatory factor analysis (CFA)
Love R? Check out jamovi’s “syntax mode”, where the underlying R syntax for each analysis is made available. Just copy and paste this into R for a seamless transition. All of the analyses in jamovi are available in R from the jmv R package. Did we mention that jamovi’s syntax mode is an ideal way to begin learning and teaching R?
Reproducibility shouldn’t be complicated, that’s why jamovi saves your data, your analyses, their options, and the results all in the one file. This file can be backed up, shared with colleagues, and at any time loaded back into jamovi — it’s like you never left.
CREATE YOUR OWN
Does jamovi not provide an analysis which is important in your field? Why not “roll your own”? jamovi makes it easy for R programmers to develop and publish their own analyses. Head on over to our developer’s hub for some easy to follow tutorials.
The jamovi roadmap could not be more ambitious. This is what’s coming soon:
- Full data-editing and management
- Plot editing
- More analyses, such as:
- Logistic regression
- Log-linear regression