The phrase "adjacent values" is correct and usable in written English.
It can be used in contexts involving data analysis, mathematics, or any situation where you are discussing values that are next to each other in a sequence or dataset.
Example: "In the dataset, we need to analyze the adjacent values to determine the trend over time."
Alternatives: "neighboring values" or "contiguous values".
The supra-threshold values are then clustered on the basis of adjacency (i.e., supra-threshold values for adjacent values of T or K are joined in one cluster).
One way (thank you, reader Gary) to visually confirm that adjacent values do, in fact, add up to squares is to represent the sums as grids of dots.
Then, we calculate the differences between adjacent values and array them in an ascending order.
Then the differences between two adjacent values in DC-Array are computed.
A long, narrow, solid rectangle is also shown within the IQR, indicating upper and lower adjacent values (UAV and LAV).
Due to the fact that both and are evenly sampled, the differences between adjacent values within vary across the grid in which the function is defined.
Similar to the mean frequency, the distribution of frequency span is slightly skewed towards the right, with the lower adjacent value at around 0.15 Hz, the first quartile at about 0.38 Hz, the median at 0.5 Hz, the third quartile at approximately 0.65 Hz and the upper adjacent value at about 1 Hz.
An adjacent value in parenthesis indicates a Spearman's rank correlation coefficient.
All values were mean ± SD. a p < 0.05 vs. Control group; b p < 0.05 vs. ARDS group; c p < 0.05 vs. previous adjacent value in the same group.
Box and whisker plot in figures indicates lower adjacent value (the lowest datum still within 1.5 interquartile range of the lower quartile), 25th percentile (lower quartile), 50th percentile (median), 75th percentile (upper quartile), and upper adjacent value (the highest datum still within 1.5 interquartile range of upper quartile).
The violin plot is a modification of the box plot that adds plots of the estimated kernel density to the summary statistics displayed by box plots [ 33], incorporates a marker for the median of the data, a box indicating the interquartile range, and spikes extending to the upper- and lower-adjacent values; overlaid is a density plot.
