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资源简介：
R code to perform all simulation and sensitivity analyses
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创建时间：
2019-01-01
相关数据集
AbM Tmor-Da Evolution 1: [SA4-1500] Sensitivity analysis of parameter no.4 population of 1500 (Statistical dataset)
Sensitivity analysis is a method to determine the effects of different parameter values and inputs has on simulation outputs. This process can be done before or after calibration (Ronald 2016). +
DataCite Commons2020-09-22 更新80
Parameters ranking according to their influence on the model output total variance.
A rank is assigned to each parameter according to how much it impacts the model output total variance. Parameter groups are assigned a score given by the sum of the ranks of their member parameters. T
NIAID Data Ecosystem60
Different ranking of the sample table of sensitivity indices.
– parameters K4 and K6 seem to have similar sensitivity, however K4 is highly sensitive (according to raw values from A), and K6 is not sensitive at all; D. improved average ranks (IAR) of A – here th
NIAID Data Ecosystem50
Priority effect between annual and perennial plants
Matlab Codes for the paper ‘priority effects between annual and perennial plants’. These files include the models from the main text and the appendix. I recommend downloading all the files into the sa
Figshare2021-07-06 更新70
Parameter variance choices for samples used in points to right of dashed lines in S5 Fig.
“Fig Row” refers to the row in S5 Fig. The indicated parameter for each family is drawn at random from the listed values, and the “first”, “second”, and “third” columns refer to the respective x value
NIAID Data Ecosystem50
