Description Usage Arguments Details Value Examples

Biological Condition Gradient Level assignment given metric memberships.

1 | ```
BCG.Level.Membership(df.metric.membership, df.rules)
``` |

`df.metric.membership` |
Data frame of metric memberships (long format, the same as the output of BCG.Membership). |

`df.rules` |
Data frame of BCG model rules. |

Input is metric memberships and a rules tables. Output is a data frame with the membership for each row to each Level (1:6). Minimum of: * 1- sum of previous levels * Rule0 memberships * max of Alt1 rules (and min of Alt2 rules) That is, perform calculations in this order: 1. Min of Alt2 metric memberships 2. Max of Alt2 rules and the above result. 3. Min of Rule0, the above result, and the sum of previous levels.

Returns a data frame of results in the wide format.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | ```
library(readxl)
library(BioMonTools)
# Calculate Metrics
df.samps.bugs <- read_excel(system.file("./extdata/Data_BCG_PacNW.xlsx"
, package="BCGcalc")
, guess_max = 10^6)
myDF <- df.samps.bugs
myCols <- c("Area_mi2", "SurfaceArea", "Density_m2", "Density_ft2", "Site_Type")
df.metric.values.bugs <- metric.values(myDF, "bugs", fun.cols2keep=myCols)
# Import Rules
df.rules <- read_excel(system.file("./extdata/Rules.xlsx"
, package="BCGcalc"), sheet="BCG_PacNW_v1_500ct")
# Calculate Metric Memberships
df.Metric.Membership <- BCG.Metric.Membership(df.metric.values.bugs, df.rules)
# Calculate Level Memberships
df.Level.Membership <- BCG.Level.Membership(df.Metric.Membership, df.rules)
## Not run:
# Show results
View(df.Level.Membership)
# Save Results
write.table(df.Level.Membership, "Level.Membership.tsv"
, row.names=FALSE, col.names=TRUE, sep="\t")
## End(Not run)
``` |

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