I have this dataset
dput(head(df1, 10))
structure(list(ID = 1:10, V = c(0, 1, 1, 1, 0, 1, 0, 1, 0,
0), Puk = c(1, 1, 1, 1, 0, 1, 0, 0, 0, 1), Tall = c(1, 1, 1, 1,
1, 1, 0, 1, 0, 0), Sit = c(1, 0, 1, 0, 0, 0, 0, 0, 1, 0), STS = c(1,
1, 1, 1, 0, 0, 0, 0, 0, 0), tlf = c(0, 0, 1, 0, 0, 0, 0, 0, 0,
1), score = c(0.99, 0.99, 1, 0.99, 0.33, 0.67, 0.33, 0.33, 0.33,
0.33)), class = c("rowwise_df", "tbl_df", "tbl", "data.frame"
), row.names = c(NA, -10L), groups = structure(list(.rows = structure(list(
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L), ptype = integer(0), class = c("vctrs_list_of",
"vctrs_vctr", "list"))), row.names = c(NA, -10L), class = c("tbl_df",
"tbl", "data.frame")))
where I am trying to perform the qualitative comparative analysis. I have run the following function for the necessity analysis.
package(QCA)
superSubset(df1,outcome="score",
conditions="V,Puk,Sit,Tall, STS,tlf", relation = "necessity",
incl.cut=0.9, cov.cut=0.6,ron.cut = 0.6)
but I am obtaining this error:
Error in superSubset(df1, outcome = "score", conditions = "V,Puk,Sit,Tall, STS,tlf", :
'list' object cannot be coerced to type 'double'
Unfortunately I cannot figure out which problem is going on. Wouòd you have any tips with it?
Thanks
This is one of those instances when your tibble needs to be a data.frame.
library(QCA)
superSubset(as.data.frame(df1),outcome="score", relation = "necessity",
incl.cut=0.9, cov.cut=0.6, ron.cut = 0.2)
inclN RoN covN
-------------------------------------------------------
1 ID[3] + tlf[0] 0.948 0.248 0.662
2 V[0] + Puk[1] 0.948 0.248 0.662
3 V[1] + tlf[0] 0.948 0.248 0.662
4 Puk[0] + Tall[1] 0.948 0.248 0.662
5 Puk[1] + Sit[0] 0.948 0.248 0.662
6 Tall[1] + Sit[0] 0.948 0.248 0.662
7 Tall[1] + tlf[0] 0.948 0.248 0.662
8 Sit[0] + STS[1] 0.948 0.248 0.662
9 Sit[1] + tlf[0] 0.948 0.248 0.662
10 STS[1] + tlf[0] 0.948 0.248 0.662
11 ID[1] + V[1] + Puk[0] 0.948 0.248 0.662
12 ID[1] + V[1] + Tall[0] 0.948 0.248 0.662
13 ID[1] + V[1] + Sit[0] 0.948 0.248 0.662
14 ID[6] + V[0] + STS[1] 0.948 0.248 0.662
15 ID[5] + Puk[1] + Tall[0] 0.948 0.248 0.662
16 ID[7] + Puk[1] + Tall[1] 0.948 0.248 0.662
17 ID[8] + Puk[1] + Tall[0] 0.948 0.248 0.662
18 ID[9] + Puk[1] + Tall[1] 0.948 0.248 0.662
19 ID[6] + Puk[0] + STS[1] 0.948 0.248 0.662
20 ID[7] + Tall[1] + Sit[1] 0.948 0.248 0.662
21 ID[10] + Tall[1] + Sit[1] 0.948 0.248 0.662
22 ID[7] + Tall[1] + tlf[1] 0.948 0.248 0.662
23 ID[9] + Tall[1] + tlf[1] 0.948 0.248 0.662
24 ID[1] + Sit[0] + tlf[1] 0.948 0.248 0.662
25 V[1] + Puk[1] + Tall[0] 0.948 0.248 0.662
26 V[1] + Puk[0] + Sit[1] 0.948 0.248 0.662
27 V[1] + Puk[0] + STS[1] 0.948 0.248 0.662
28 V[1] + Tall[0] + Sit[1] 0.948 0.248 0.662
29 V[1] + Tall[0] + STS[1] 0.948 0.248 0.662
30 Puk[1] + Tall[1] + Sit[1] 0.948 0.248 0.662
31 Tall[1] + Sit[1] + tlf[1] 0.948 0.248 0.662
32 ID[5] + V[1] + Puk[1] + Sit[1] 0.948 0.248 0.662
33 ID[7] + V[1] + Puk[1] + Sit[1] 0.948 0.248 0.662
34 ID[5] + V[1] + Sit[1] + tlf[1] 0.948 0.248 0.662
35 ID[7] + V[1] + Sit[1] + tlf[1] 0.948 0.248 0.662
-------------------------------------------------------