Your English writing platform
Discover LudwigSuggestions(1)
Exact(22)
All metric variables in models were log transformed and were graphically inspected for normality by using normal quantile plots of the log regressions.
Data were visually inspected for normality of distribution and were all normally distributed.
To meet the distributional assumptions of the statistical analyses, residual and normal probability plots were inspected for normality.
Data were inspected for normality and, when necessary, transformed to approximate a normal distribution.
Histograms of all variables were visually inspected for normality and the data were logarithmically transformed to compensate for the skewness of the data distribution.
All variables were visually inspected for normality prior to analysis and fell within acceptable statistical limits, Kolmogorov Smirnov>.01 in all cases.
Similar(38)
The data will be inspected for approximate normality or symmetry and, if necessary, subjected to appropriate transformation.
Here we calculate the log ratio of expression between two paralogous genes using: The distribution of log ratios among the paralogs was visually inspected for deviation from normality in both RPKM and UQ data sets.
We also examined the absolute differences in BMI, heights and weights across measured BMI-categories for participants with and without clinical OA and compared the groups using independent sample t-tests after having inspected data for normality (examining histograms).
Partial regression plots were inspected for outliers and heteroskedacity, and residuals tested for normality using the Shapiro Wilkes test.
Variables were inspected for skewness and those that domonstrated significant divergence from normality were transformed using Log10 [X+1] for regression analyses.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com