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Figure 3 The best regression model developed to explain: (a) Relationship between LiDAR data and mean plant height measured in the field; (b) plant height BIAS against fitted height data LiDAR derived; (c) relationship between LiDAR data and mean biomass measured in the field; (d) plant biomass BIAS against fitted height data LiDAR derived.
For descriptive statistical analysis, we calculated absolute and relative frequencies (in percentage) to describe categorical data and mean ± standard deviation and median as well as range for continuous data.
Data synthesis Results summarised as relative risks for dichotomous data and mean differences for continuous data.
Data are presented as N for categorical data and mean (SD) for continuous data.
10 Descriptive statistics are reported as percentages for categorical data and mean (SD) for continuous data.
We will calculate risk ratios for dichotomous data and mean differences for continuous data.
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Data were explored initially using basic frequencies for categorical data and means for continuous data.
This is the highest figure in the 20 years that the department has been compiling data, and means house prices have now surpassed pre-crash levels.
Figures show representative data and means ± S.E.M.
Descriptive analyses report medians (interquartile range (IQR)) for skewed data and means (s.d).
These results demonstrate that systematic, multiplicative bias is a widespread property within Affymetrix array data, and mean-centering was found to lead to improvements irrespective of the summarisation method used (RMA or MAS5 [ 4]) to process the data or when using alternative Chip Description Files (CDFs) to group probes according to Unigene cluster [ 5] (Additional File 2).
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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