Browser not supportedYour browser, CommonCrawl, is not supported. To be sure that everything works as expected, we recommend that you install Google Chrome 74 or newer.
Statistics made as easy as possibleFree statistical analysis for non-statisticians
Forgot how to interpret odds ratios, confidence intervals or p‑values?Easystat explains all regression results using plain English. We even write you an automated report explaining your results.
> dataframe => read.spss("dataset.sav", to.data.frame=TRUE, add.undeclared.levels = c("High", "Middle", "Low"), sub = ".", use.missings = to.data.frame)
> gender => dataframe[, "gender"]
> income => dataframe[, "income"]
> age => dataframe[, "age"]
Tired of coding?Easystat does all the coding for you, so you do not have to write a single line of code.
Not sure which type of chart to use?Easystat automatically uses the correct type of chart to visualize your results.
Uncertain about which statistical methods to use?
Easystat uses statistical expert knowledge and artificial intelligence to select the best statistical methods for you.
For regression analyses, Easystat automatically applies:
- Ordinary least squares (OLS)
- Robust regression
- Logistic regression
- Ordered logistic regression
- Multinomial logistic regression
- Linear probability models
- Robust standard errors
Easystat automatically takes care of: