Nothing
## ---- eval = FALSE------------------------------------------------------------
# gimme( # can use "gimme" or "gimmeSEM"
# data = '', # list object or source directory where your data are
# out = '', # output directory where you'd like your output to go
# sep = "", # how data are separated. "" for space; "," for comma, "/t" for tab-delimited
# header = , # TRUE or FALSE, is there a header
# ar = TRUE, # TRUE (default) or FALSE, start with autoregressive paths open
# plot = TRUE, # TRUE (default) or FALSE, generate plots
# subgroup = FALSE, # TRUE or FALSE (default), cluster individuals based on similarities in effects
# paths = NULL, # option to list paths that will be group-level (semi-confirmatory)
# groupcutoff = .75, # the proportion that is considered the majority at the group level
# subcutoff = .75, # the proportion that is considered the majority at the subgroup level
# VAR = FALSE, # TRUE or FALSE (default), option to use VAR model instead of uSEM
# hybrid = FALSE # TRUE or FALSE (default), option to use hybrid-VAR model instead of uSEM
# )
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