Concise formatting of significances in R.
Please see Adding polished significance summaries to papers using R for some discussion.
See also:
sigr is a small package that concentrates on computing summary statistics and reporting in an appropriate format.
For example here is formatting the quality of a logistic regression.
d <- data.frame(x=c(1,2,3,4,5,6,7,7),
y=c(TRUE,FALSE,FALSE,FALSE,TRUE,TRUE,TRUE,FALSE))
model <- glm(y~x,data=d,family=binomial)
summary(model)
##
## Call:
## glm(formula = y ~ x, family = binomial, data = d)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -1.37180 -1.09714 -0.00811 1.08024 1.42939
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.7455 1.6672 -0.447 0.655
## x 0.1702 0.3429 0.496 0.620
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 11.090 on 7 degrees of freedom
## Residual deviance: 10.837 on 6 degrees of freedom
## AIC: 14.837
##
## Number of Fisher Scoring iterations: 4
Chi-Square Test summary: pseudo-R2=0.02282 (χ2(1,N=8)=0.2531, p=0.6149).
To install, from inside R
please run: