It's pretty easy!plot (c(1968,2010),c(0,10),type="n", # sets the x and y axes scales xlab="Year",ylab="Expenditures/GDP (%)") # adds titles to the axes lines(year,defense,col="red",lwd=2.5) # adds a line for defense expenditures lines(year,health,col="...
miss
attach miss result1
summary(result1)
Call: glm(formula = a ~ b, family = binomial(logit))
Deviance Residuals:
Min 1Q Median 3Q Max
-1.8864 -1.2036 0.7397 0.9425 1.4385
Coefficients:
...
miss
attach miss result1
summary(result1)
Call: glm(formula = a ~ b, family = binomial(logit))
Deviance Residuals:
Min 1Q Median 3Q Max
-1.8864 -1.2036 0.7397 0.9425 1.4385
Coefficients:
...
This plot:was created using the following R code:plot (q9e~q8, type = "n",xlim = c(1,13), ylim = c(1,13),cex.lab=1.25,cex.axis=0.75, col.lab = "#333333", xlab = "Obama job grade",ylab = "Congressional job grade", xaxt ="n", yaxt="n",main="Obama and Co...
This plot:was created using the following R code:plot (q9e~q8, type = "n",xlim = c(1,13), ylim = c(1,13),cex.lab=1.25,cex.axis=0.75, col.lab = "#333333", xlab = "Obama job grade",ylab = "Congressional job grade", xaxt ="n", yaxt="n",main="Obama and Co...
I've been getting a lot of help from this book:While written for S-Plus, nearly everything in it is applicable with R.
I've been getting a lot of help from this book:While written for S-Plus, nearly everything in it is applicable with R.
First we plot approval (app) against date (daten). We also specify a few other things. ylim=c(40,80) specifies that the y axis extends from 40 to 80. xlim=c(-3,210) might seem odd, but we need extra space on the left. pch=16 plots dots, and col="gray" ...
First we plot approval (app) against date (daten). We also specify a few other things. ylim=c(40,80) specifies that the y axis extends from 40 to 80. xlim=c(-3,210) might seem odd, but we need extra space on the left. pch=16 plots dots, and col="gray" ...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
