overlap.prim | R Documentation |
This function allows to estimate the primary study overlap across reviews
overlap.prim(
x,
ID = "factor",
presentation = "%",
cut_off = c(0.05, 0.1, 0.15),
enhanced = TRUE
)
x |
an 'umbrella' object |
ID |
a character variable indicating whether the overlap should be looked across 'factor' or across 'meta_review'. |
presentation |
the type of presentation for the overlap. Can be precise percentages ('%') or symbols ('+'). |
cut_off |
a vector of 3 cut-off values used only if the 'presentation' argument is set as '+'. |
enhanced |
a logical variable indicating whether you want a narrative description of the information stored in the rows/columns returned by this function. |
This function returns a dataframe with 1 row/column per factor or meta-review. As in a correlation matrix, the cell at the intersection of a row and a column contains the desired information (i.e. the overlap between primary studies for the column and row names).
Pérez-Bracchiglione, J., Meza, N., Bangdiwala, S. I., Niño de Guzmán, E., Urrútia, G., Bonfill, X., & Madrid, E. (2022). Graphical Representation of Overlap for OVErviews: GROOVE tool. Research synthesis methods, 13(3), 381–388. https://doi.org/10.1002/jrsm.1557
df.SMD$author[22:32] <- df.SMD$author[1:11]
df.SMD$year[22:32] <- df.SMD$year[1:11]
overlap.prim(umbrella(df.SMD),
presentation = "+", cut_off = c(.05,.15,.25))
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