Description Usage Arguments Examples
Display a histogram matrix for visual inspection of anomalous observation detection. The color of the blocks represents how anomalous each block is, where a lighter blue represents a more anomalous block. The size of the points indicate which values are driving the anomaly, with larger blocks representing more anomalous values.
1 2 3 4 |
data |
the data set (data frame or matrix) |
input |
the type of input data being passed to the function. |
top |
how many of the most anomalous blocks you would like to display (default 20) |
order |
whether to show the anomalous blocks in numeric order or in order of most anomalous to least anomalous (default is "numeric", other choice is "anomaly") |
block_length |
argument fed into |
level_limit |
argument fed into |
level_keep |
argument fed into |
partial_block |
argument fed into |
na.rm |
whether to keep track of missing values as part of the analysis or
ignore them (default |
min_var |
argument fed into |
max_cor |
argument fed into |
action |
argument fed into |
output |
argument fed into |
normalize |
argument fed into |
1 2 3 4 5 6 7 8 9 10 11 12 | ## Not run:
# Data set input
hmat(security_logs,block_length = 8)
# Data Set input with top 10 blocks displayed
hmat(security_logs, top = 10, block_length = 5)
# State Vector Input
tabulate_state_vector(security_logs, block_length = 6, level_limit = 20) %>%
hmat(input = "SV")
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.