Description Usage Arguments Details Value Author(s) References Examples

A Network Implementation of Fuzzy Sets: Build Network Objects from Multivariate Flat Files.

1 2 3 4 5 6 7 8 | ```
graphFactor(dat = dat, datName = NULL, howmanyvariables = dim(dat)[2L],
howmanyclusters = 10, buildSVD = FALSE,
catDirectoryPrefixName = "cat.expressions.dir.",
catDirectorySuffixName = 1.1, minimumEventThreshold = 2,
seed = 20150523, ubFlag = FALSE, maximumEventThreshold = 10,
YourNameHere = 'Your Name Here',
YourLocationHere = 'Your Location Here',
plotToFile = FALSE, showSequence = FALSE, seqDex = NULL)
``` |

`dat` |
The data to model. The data must be a flat, numeric, data.frame class object. |

`datName` |
Name the data so it shows up on the network visualization. (character) |

`howmanyvariables` |
The number of variables to place in the model. (integer) |

`howmanyclusters` |
The number of clusters to construct in each variable. (integer) |

`buildSVD` |
Normalize the data using SVD. (logical) |

`catDirectoryPrefixName` |
Directory to place edgelist and kmeans cluster assignments. Default:'cat.expressions.dir.' (character) |

`catDirectorySuffixName` |
Default: 1.1 (numeric) |

`minimumEventThreshold` |
When placing edges between clusters, this is the minimum number of events shared across constituent variables of a multivariate event. Default: 2 (integer) |

`seed` |
Seed for replicating results. (integer) |

`ubFlag` |
Upper Bound Flag. Should maximumEventThreshold be considered when constructing the model? Default = FALSE (logical) |

`maximumEventThreshold` |
The maximum number of shared event indices between clusters across any two variables to generate an edge. |

`YourNameHere` |
Character. Used to personalize the network viz. |

`YourLocationHere` |
Character. Used to personalize the network viz. |

`plotToFile` |
The function will print the viz to file and won't print the visualization to the terminal. Default: FALSE (logical) |

`showSequence` |
Logical. If TRUE, generate a sequence of plots for the indices of the seqDex ("sequence index") parameter. Default value is FALSE. |

`seqDex` |
An event index vector used if showSequence is TRUE. |

GraphFactor is for exploring the qualitative features of a flat file. In a sense, by clustering like values in each variable, the graphFactor function reduces the degrees of freedom of the data. An edge between two clusters indicates that a threshold criteria is met between two variables. Each node (each clustered set of indices in the variable) shares an intersection of indices in an adjacent node, as defined in the parameters by the useR. Nodes within the same variable are never adjacent: Network construction starts from a variable-wise bipartite graph.

Since smaller clusters may lack the criteria for connectedness to any other node in the graph, they won't show in the visualization. It is because of this that sometimes, though each variable receives a color assignment, an event variable's respective node may be absent. So in that sense, events that are statistical leverage points may be apparent by their absense! Further, an interesting artifact of the graphFactor function is that potentially influential observations may be evident because the point's cluster assignments are uncommon with respect to the graph at large: Nodes of an event may appear yet remain disjoint.

Does this tool add value to the analyst's toolbox? Time will tell. Feedback is appreciated. Thank you for using GraphFactor.

A list with components:

consecutive characters: Clustered event indices for a variable. "PC.clusters[[1]] <- list(a = c(19,27,31,44,48), ..." etc.

A file folder with files:

kmeans.cluster.subset.expressions.R: The cluster list.

edgelist.R: an edgelist

Both files are saved to the current working directory in a folder named when calling graphFactor.

Plots are saved to png file or printed to the on screen graphics device.

Matthew C. Bascom

Zadeh, L.A. (1964) _Fuzzy Sets_ Electronics Research Laboratory, University of California, Berkeley, Report No. 64-44

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 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | ```
library(GraphFactor)
library(igraph)
library(datasets)
### Help files: ###
# # help(package = GraphFactor)
# # ?GraphFactor::GraphFactor
# # ?GraphFactor::graphFactor
data(USArrests)
graphFactor(dat = datasets::USArrests, datName = 'USArrests')
dev.new()
graphFactor(dat = datasets::USArrests, buildSVD = TRUE)
dev.new()
graphFactor(dat = datasets::USArrests, buildSVD = TRUE, minimumEventThreshold = 3)
graphFactor(dat = datasets::USArrests,
datName = 'USArrests', buildSVD = FALSE, minimumEventThreshold = 3)
# Not very exciting so far...
# Show a sequence of events.
# Put one value in seqDex.
graphFactor(dat = datasets::USArrests, showSequence = TRUE, seqDex = 1)
# Put a few values in seqDex.
graphFactor(dat = datasets::USArrests, showSequence = TRUE, seqDex = c(1,2,3))
graphFactor(dat = datasets::USArrests, showSequence = TRUE, seqDex = c(1,2,3), buildSVD = TRUE)
seex <- c(4,5,6)
graphFactor(dat = datasets::USArrests, showSequence = TRUE, seqDex = seex,
buildSVD = FALSE, datName = 'USArrests', plotToFile = FALSE,
minimumEventThreshold = 3)
# Try another data set.
data(state)
state77 <- state.x77[,c(1,2,3,5,7)]
head(state77)
class(state77) # matrix.
state77 <- data.frame(state77) # # Make sure it's data.frame!
graphFactor(dat = state77, datName = 'stateX77', showSequence = FALSE,
buildSVD = FALSE, plotToFile = FALSE, minimumEventThreshold = 2)
# Plot to file.
graphFactor(dat = state77, datName = 'stateX77', showSequence = TRUE,
buildSVD = FALSE, plotToFile = TRUE, minimumEventThreshold = 2, seqDex = c(1,2,3))
# Increase the minimum threshold to place an edge between any two nodes.
# Don't plot to file...
graphFactor(dat = state77, datName = 'stateX77', showSequence = TRUE,
buildSVD = FALSE, plotToFile = FALSE, minimumEventThreshold = 3, seqDex = seex)
# ...plot to file.
graphFactor(dat = state77, datName = 'stateX77', showSequence = TRUE,
buildSVD = FALSE, plotToFile = TRUE, minimumEventThreshold = 3, seqDex = seex)
#X# graphFactor(dat = state77, datName = 'stateX77', showSequence = T,
#X# buildSVD = F, plotToFile = T, minimumEventThreshold = 2)
#X# # Error. (no print...needs seqDex!)
graphFactor(dat = state77, datName = 'stateX77', showSequence = TRUE,
buildSVD = FALSE, plotToFile = TRUE, minimumEventThreshold = 2, seqDex = seex)
# Pick a different subset of variables to inspect.
state76 <- state.x77[,c(1,2,3,5)]
state76 <- data.frame(state76)
#X# graphFactor(dat = state76, datName = 'stateX77', showSequence = F,
#X# buildSVD = F, plotToFile = TRUE, minimumEventThreshold = 2)
#X# # 'plotToFile' failed because showSequence is set to FALSE!
# Note the presence of the sequence vector, seqDex, when showSequence is TRUE.
graphFactor(dat = state76, datName = 'stateX77', showSequence = TRUE,
buildSVD = FALSE, plotToFile = TRUE, minimumEventThreshold = 2,
seqDex = c(1,2,3))
state75 <- data.frame(state.x77[,c(1,2,3)])
class(state75) # data.frame.
graphFactor(dat = state75, datName = 'stateX77', showSequence = TRUE,
buildSVD = FALSE, plotToFile = FALSE, minimumEventThreshold = 2,
seqDex = c(1,2,3))
graphFactor(dat = state75, datName = 'stateX77', showSequence = TRUE,
buildSVD = FALSE, plotToFile = TRUE, minimumEventThreshold = 2,
seqDex = c(10,11,12))
``` |

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