In RandiLGarcia/dyadr: dyadr: Dyadic Data Analysis

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dyadr

r package for dyadic data analysis

Description

An R package for assisting people in dyadic data analysis. Contains functions to organize output from the gls and lme functions from the nlme package for cross-sectional data. Some functionality exists with the lme4 package. Improves user understanding of the Actor-Partner Independence Model by organizing actor and parter effects for the purpose of comparing parameters to each other.

Installation

# install.packages("devtools")
devtools::install_github("RandiLGarcia/dyadr")

Usage

Here is an example of how to use some of the dyadr functions.

First, load the package and get data:

library(nlme)
library(dyadr)

Using the smallsummary function

apim <- gls(Satisfaction_A ~ Tension_A + SelfPos_P,
  na.action = na.omit,
  correlation = corCompSymm(form = ~ 1 | CoupleID),
  data = acipair
)

smallsummary(apim)

Using the crsp function

# Empty Model
apimie <- summary(gls(Satisfaction_A ~ 1,
  na.action = na.omit,
  correlation = corCompSymm(form = ~ 1 | CoupleID),
  data = acipair
))
# sd of errors for the model or esd
esd <- as.numeric(apim[6])
# sd of errors for the empty model or esd0
esd0 <- as.numeric(apimie[6])
# the R squared, using the crsp function
crsp(esd, esd0)