Takes a model object, and formats it as a publication-ready table.
table_results(
x,
columns = c("label", "est_sig", "se", "pval", "confint", "group", "level"),
digits = 2,
format_numeric = TRUE,
...
)A model object for which a method exists.
A character vector of columns to retain from the results
section. If this is set to NULL, all available columns are returned.
Defaults to c("label", "est_sig", "se", "pval", "confint", "group",
"level"). These correspond to 1) the parameter label, 2) estimate column
with significance asterisks appended
(* <.05, ** < .01, *** < .001); 3) standard error, 4) p-value, 5) a
formatted confidence interval, 6) grouping variable (if available), 7) level
variable for multilevel models, if available.
Number of digits to round to when formatting numeric columns.
Logical, indicating whether or not to format numeric
columns. Defaults to TRUE.
Logical expressions used to filter the rows of results returned.
A data.frame of formatted results.
Other Reporting tools:
conf_int(),
est_sig(),
table_fit(),
table_prob()
library(lavaan)
HS.model <- ' visual =~ x1 + x2 + x3
textual =~ x4 + x5 + x6
speed =~ x7 + x8 + x9 '
fit <- cfa(HS.model,
data = HolzingerSwineford1939,
group = "school")
table_results(fit)
#> label est_sig se pval confint group
#> 1 visual.BY.x1.Pasteur 1.00 0.00 <NA> [1.00, 1.00] Pasteur
#> 2 visual.BY.x2.Pasteur 0.39** 0.12 0.00 [0.15, 0.63] Pasteur
#> 3 visual.BY.x3.Pasteur 0.57*** 0.14 0.00 [0.30, 0.84] Pasteur
#> 4 textual.BY.x4.Pasteur 1.00 0.00 <NA> [1.00, 1.00] Pasteur
#> 5 textual.BY.x5.Pasteur 1.18*** 0.10 0.00 [0.98, 1.38] Pasteur
#> 6 textual.BY.x6.Pasteur 0.87*** 0.08 0.00 [0.72, 1.03] Pasteur
#> 7 speed.BY.x7.Pasteur 1.00 0.00 <NA> [1.00, 1.00] Pasteur
#> 8 speed.BY.x8.Pasteur 1.12*** 0.28 0.00 [0.58, 1.67] Pasteur
#> 9 speed.BY.x9.Pasteur 0.92*** 0.22 0.00 [0.48, 1.36] Pasteur
#> 10 Variances.x1.Pasteur 0.30 0.23 0.20 [-0.16, 0.75] Pasteur
#> 11 Variances.x2.Pasteur 1.33*** 0.16 0.00 [1.02, 1.64] Pasteur
#> 12 Variances.x3.Pasteur 0.99*** 0.14 0.00 [0.72, 1.26] Pasteur
#> 13 Variances.x4.Pasteur 0.43*** 0.07 0.00 [0.29, 0.56] Pasteur
#> 14 Variances.x5.Pasteur 0.46*** 0.09 0.00 [0.29, 0.62] Pasteur
#> 15 Variances.x6.Pasteur 0.29*** 0.05 0.00 [0.19, 0.39] Pasteur
#> 16 Variances.x7.Pasteur 0.82*** 0.12 0.00 [0.58, 1.06] Pasteur
#> 17 Variances.x8.Pasteur 0.51*** 0.12 0.00 [0.28, 0.74] Pasteur
#> 18 Variances.x9.Pasteur 0.68*** 0.10 0.00 [0.48, 0.88] Pasteur
#> 19 Variances.visual.Pasteur 1.10*** 0.28 0.00 [0.55, 1.64] Pasteur
#> 20 Variances.textual.Pasteur 0.89*** 0.15 0.00 [0.60, 1.19] Pasteur
#> 21 Variances.speed.Pasteur 0.35** 0.13 0.01 [0.10, 0.60] Pasteur
#> 22 visual.WITH.textual.Pasteur 0.48*** 0.11 0.00 [0.27, 0.69] Pasteur
#> 23 visual.WITH.speed.Pasteur 0.19* 0.08 0.02 [0.03, 0.34] Pasteur
#> 24 textual.WITH.speed.Pasteur 0.18** 0.07 0.01 [0.05, 0.32] Pasteur
#> 25 Means.x1.Pasteur 4.94*** 0.09 0.00 [4.76, 5.13] Pasteur
#> 26 Means.x2.Pasteur 5.98*** 0.10 0.00 [5.79, 6.18] Pasteur
#> 27 Means.x3.Pasteur 2.49*** 0.09 0.00 [2.31, 2.67] Pasteur
#> 28 Means.x4.Pasteur 2.82*** 0.09 0.00 [2.64, 3.00] Pasteur
#> 29 Means.x5.Pasteur 4.00*** 0.10 0.00 [3.79, 4.20] Pasteur
#> 30 Means.x6.Pasteur 1.92*** 0.08 0.00 [1.77, 2.08] Pasteur
#> 31 Means.x7.Pasteur 4.43*** 0.09 0.00 [4.26, 4.60] Pasteur
#> 32 Means.x8.Pasteur 5.56*** 0.08 0.00 [5.41, 5.72] Pasteur
#> 33 Means.x9.Pasteur 5.42*** 0.08 0.00 [5.26, 5.57] Pasteur
#> 34 Means.visual.Pasteur 0.00 0.00 <NA> [0.00, 0.00] Pasteur
#> 35 Means.textual.Pasteur 0.00 0.00 <NA> [0.00, 0.00] Pasteur
#> 36 Means.speed.Pasteur 0.00 0.00 <NA> [0.00, 0.00] Pasteur
#> 37 visual.BY.x1.Grant-White 1.00 0.00 <NA> [1.00, 1.00] Grant-White
#> 38 visual.BY.x2.Grant-White 0.74*** 0.15 0.00 [0.43, 1.04] Grant-White
#> 39 visual.BY.x3.Grant-White 0.92*** 0.17 0.00 [0.60, 1.25] Grant-White
#> 40 textual.BY.x4.Grant-White 1.00 0.00 <NA> [1.00, 1.00] Grant-White
#> 41 textual.BY.x5.Grant-White 0.99*** 0.09 0.00 [0.82, 1.16] Grant-White
#> 42 textual.BY.x6.Grant-White 0.96*** 0.08 0.00 [0.80, 1.13] Grant-White
#> 43 speed.BY.x7.Grant-White 1.00 0.00 <NA> [1.00, 1.00] Grant-White
#> 44 speed.BY.x8.Grant-White 1.23*** 0.19 0.00 [0.86, 1.59] Grant-White
#> 45 speed.BY.x9.Grant-White 1.06*** 0.16 0.00 [0.74, 1.38] Grant-White
#> 46 Variances.x1.Grant-White 0.71*** 0.13 0.00 [0.47, 0.96] Grant-White
#> 47 Variances.x2.Grant-White 0.90*** 0.12 0.00 [0.66, 1.14] Grant-White
#> 48 Variances.x3.Grant-White 0.56*** 0.10 0.00 [0.36, 0.76] Grant-White
#> 49 Variances.x4.Grant-White 0.32*** 0.06 0.00 [0.19, 0.44] Grant-White
#> 50 Variances.x5.Grant-White 0.42*** 0.07 0.00 [0.28, 0.56] Grant-White
#> 51 Variances.x6.Grant-White 0.41*** 0.07 0.00 [0.27, 0.54] Grant-White
#> 52 Variances.x7.Grant-White 0.60*** 0.09 0.00 [0.42, 0.78] Grant-White
#> 53 Variances.x8.Grant-White 0.40*** 0.09 0.00 [0.22, 0.59] Grant-White
#> 54 Variances.x9.Grant-White 0.53*** 0.09 0.00 [0.36, 0.71] Grant-White
#> 55 Variances.visual.Grant-White 0.60*** 0.16 0.00 [0.29, 0.92] Grant-White
#> 56 Variances.textual.Grant-White 0.94*** 0.15 0.00 [0.64, 1.24] Grant-White
#> 57 Variances.speed.Grant-White 0.46*** 0.12 0.00 [0.23, 0.69] Grant-White
#> 58 visual.WITH.textual.Grant-White 0.41*** 0.10 0.00 [0.22, 0.60] Grant-White
#> 59 visual.WITH.speed.Grant-White 0.28*** 0.08 0.00 [0.13, 0.42] Grant-White
#> 60 textual.WITH.speed.Grant-White 0.22** 0.07 0.00 [0.08, 0.37] Grant-White
#> 61 Means.x1.Grant-White 4.93*** 0.10 0.00 [4.74, 5.12] Grant-White
#> 62 Means.x2.Grant-White 6.20*** 0.09 0.00 [6.02, 6.38] Grant-White
#> 63 Means.x3.Grant-White 2.00*** 0.09 0.00 [1.83, 2.16] Grant-White
#> 64 Means.x4.Grant-White 3.32*** 0.09 0.00 [3.13, 3.50] Grant-White
#> 65 Means.x5.Grant-White 4.71*** 0.10 0.00 [4.52, 4.90] Grant-White
#> 66 Means.x6.Grant-White 2.47*** 0.09 0.00 [2.28, 2.65] Grant-White
#> 67 Means.x7.Grant-White 3.92*** 0.09 0.00 [3.75, 4.09] Grant-White
#> 68 Means.x8.Grant-White 5.49*** 0.09 0.00 [5.32, 5.66] Grant-White
#> 69 Means.x9.Grant-White 5.33*** 0.09 0.00 [5.16, 5.49] Grant-White
#> 70 Means.visual.Grant-White 0.00 0.00 <NA> [0.00, 0.00] Grant-White
#> 71 Means.textual.Grant-White 0.00 0.00 <NA> [0.00, 0.00] Grant-White
#> 72 Means.speed.Grant-White 0.00 0.00 <NA> [0.00, 0.00] Grant-White