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Each of these permutations of the original dataset were fitted with the final model determined based on the original dataset.
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Each dataset was fitted with a statistical distribution, which was then converted to the corresponding fracture toughness.
In contrast to the normally applied procedure in which every subject's dataset is fitted with the same design matrix, we used a different design matrix for each subject, based on the subject's actual data ('seed' time courses from the same ROIs) so that the final map reflects regions whose activity is correlated to the activity in the same 'seed' location across subjects.
Each simulated dataset was fitted with.
Each dataset was fitted with a normal distribution (shown with solid lines) and for the purpose of comparison, the normal curve fitted to the data from the wild type mice is shown superimposed to the data from the Mbnl mutant strains.
All datasets were fitted with the same set of rate constants and SAS (except for one rate, see below).
For both the shotgun proteomes and transcriptomes, replicate datasets were fitted with a locally weighted scatterplot smoothing by polynomial regression using a standard span value of 0.75 (R Core Development Team, 2014), using the replicates of unprocessed samples, and the replicate time series of 7.8 72 hr, as input for the regression.
A window around each artifact is removed and the entire filtered, cleaned dataset is fit with a spline such that clean peaks are modeled and the windowed gaps are replaced with values from the spline interpolation to produce a clean, spline waveform (Figure 2).
Each generated dataset was fit with the SEM, the LMM1 (i.e. with the mediator as a covariate), and the LMM2 (i.e. without the mediator as a covariate).
Many were fitted with internal electric lighting.
Participants were fitted with earplugs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com