rob.xyplot: Function for plotting an initial solution against the test...

In nenaoana/SetMethods: Functions for Set-Theoretic Multi-Method Research and Advanced QCA

Function for plotting an initial solution against the test set.

Description

Function for plotting an initial solution against the test set.

Usage

rob.xyplot(test_sol, 
            initial_sol, 
            outcome,
            all_labels = FALSE,
            jitter = TRUE,
            fontsize = 3,
            labs = TRUE,
            area_lab = TRUE)

Arguments

test_sol	The different alternative solutions created with minimize() and placed in a list using list().
initial_sol	The initial solution created with minimize().
outcome	A character string containing the name of the outcome.
all_labels	Logical. Should all the case labels be printed? If FALSE, only shaky and possible cases are printed.
jitter	Logical. Should case labels be jitter so as not to overlap?
fontsize	The size of the font for case labels.
labs	Logical.Should case labels be printed?
area_lab	Logical.Should labels for each area with regard to minTS/maxTS be printed?

Author(s)

Ioana-Elena Oana

References

Oana, Ioana-Elena, and Carsten Q. Schneider. 2020. Robustness tests in QCA: A fit-oriented and case-oriented perspective using R. Unpublished Manuscript.

Oana, Ioana-Elena, Carsten Q. Schneider, and Eva Thomann (forthcoming). Qualitative Comparative Analysis (QCA) using R: A Gentle Introduction. Cambridge: Cambridge University Press.

Examples

# Load the data:
data(PAYF)

# Store the name of the conditions in one vector:
conds <-  c("HE","GG","AH","HI","HW")

# Create several solutions:

# The initial solution
IS <- minimize(data = PAYF,
                outcome  = "HL",
                conditions = conds,
                incl.cut = 0.87,
                n.cut = 2,
                include = "?",
                details = TRUE, 
                show.cases = TRUE)

# altering consistency
TS1 <- minimize(data = PAYF,
                 outcome  = "HL",
                 conditions = conds,
                 incl.cut = 0.7,
                 n.cut = 2,
                 include = "?",
                 details = TRUE, show.cases = TRUE)

#altering n.cut
TS2 <- minimize(data = PAYF,
                 outcome  = "HL",
                 conditions = conds,
                 incl.cut = 0.87,
                 n.cut = 1,
                 include = "?",
                 details = TRUE, show.cases = TRUE)
                 
# Create the test set in a list:
TS <- list(TS1, TS2)

# Plotting the initial solution against the test set:

rob.xyplot(test_sol = TS, 
                  initial_sol = IS, 
                  outcome = "HL", 
                  fontsize = 2.5, 
                  jitter=TRUE)

nenaoana/SetMethods documentation built on April 7, 2023, 2:20 p.m.