I'm trying to generate a data set from the rnorm function, using the sample size, mean, and standard deviations I've been creating from a hypothetical data set.
I've been looking on the internet in attempt to do this and been working at it all day.
So far I have...
ss.entrepreneur<-rnorm(60, 2.59, 0.504) #self-sufficiency of entrepreneurs
ss.manager<-rnorm(60, 2.11, 0.488) #self-sufficiency of managers
sc.entrepreneur<-rnorm(60, 3.16, 0.604) #self-confidence of entrepreneurs
sc.manager<-rnorm(60, 3.02, 0.542) #self-confidence of managers
at.entrepreneur<-rnorm(60, 2.91, 0.483) #ambiguity tolerance of entrepreneurs
at.manager<-rnorm(60, 2.79, 0.609) #ambiguity tolerance of managers
c.entrepreneur<-rnorm(60, 3.11, 0.471) #creativity of entrepreneurs
c.manager<-rnorm(60, 3.01, 0.478) #creativity of managers
loc.entrepreneur<-rnorm(60, 2.98, 0.509) #locus of control of entrepreneurs
loc.manager<-rnorm(60, 2.73, 0.556) #locus of control of managers
rtp.entrepreneur<-rnorm(60, 3.06, 0.561) #risk-taking propensity of entrepreneurs
rtp.manager<-rnorm(60, 3.00, 0.552) #risk-taking propensity of managers
N = n.entrepreneur + n.manager
simulateddata <- data.frame(
subject = c(seq(1,N),seq(1,N)),
characteristic = c(rep("self-confidence", N), rep("locus of control", N)), #within-subjects variable
occupation = c(rep(c(rep("entrepreneur", n.entrepreneur), rep("manager", n.manager)),2)), #between-subjects variable
value = c(sc.entrepreneur, sc.manager, loc.entrepreneur, loc.manager
I haven't been able to figure out a way to add more than two variables in the characteristic column, and have them correspond to values in the value column.
When I add more than two, I keep getting errors such as:
Error in data.frame(subject = c(seq(1, N), seq(1, N)), characteristic = c(rep("self-confidence", :
arguments imply differing number of rows: 240, 360.
Can anybody point me in the right direction? Thank you, any help is greatly appreciated!!