Fix duplicated text

[etiennebacher]

Close #279. If ok, we need to update the snapshots in the tests.

Changes: collapse predictors names and the intercept values in the first paragraph.

New output:

library(report)
df <- carData::Mroz
x <- glm(lfp ~ k618 + wc + hc + inc, df, family=binomial(link="logit"))
report(x)
#> We fitted a logistic model (estimated using ML) to predict lfp with k618, wc,
#> hc, inc (formula: lfp ~ k618 + wc + hc + inc). The model's explanatory power is
#> weak (Tjur's R2 = 0.05). The model's intercept, corresponding to k618 = 0, wc =
#> no, hc = no, inc = 0, is at 0.64 (95% CI [0.31, 0.99], p < .001). Within this
#> model:
#> 
#>   - The effect of k618 is statistically non-significant and positive (beta =
#> 0.02, 95% CI [-0.10, 0.13], p = 0.790; Std. beta = 0.02, 95% CI [-0.13, 0.17])
#>   - The effect of wc [yes] is statistically significant and positive (beta =
#> 0.86, 95% CI [0.46, 1.27], p < .001; Std. beta = 0.86, 95% CI [0.46, 1.27])
#>   - The effect of hc [yes] is statistically non-significant and positive (beta =
#> 0.08, 95% CI [-0.29, 0.46], p = 0.658; Std. beta = 0.08, 95% CI [-0.29, 0.46])
#>   - The effect of inc is statistically significant and negative (beta = -0.03,
#> 95% CI [-0.05, -0.02], p < .001; Std. beta = -0.38, 95% CI [-0.55, -0.21])
#> 
#> Standardized parameters were obtained by fitting the model on a standardized
#> version of the dataset. 95% Confidence Intervals (CIs) and p-values were
#> computed using a Wald z-distribution approximation.

^{Created on 2022-09-01 by the reprex package (v2.0.1)}

[strengejacke]

Are you sure we can remove the dots here?

[etiennebacher]

ah no, my bad, I removed them when I ran the code line by line. I'll clean this tomorrow

[etiennebacher]

fixed

[IndrajeetPatil]

@etiennebacher Do you also want to update the snapshots?

[etiennebacher]

yes I can do that

[IndrajeetPatil]

Only Windows-specific snapshots were updated, but macOS builds still continue to succeed. How is that possible?! 🤔

[IndrajeetPatil]

We can figure it out later.