Data loads lazily. Type data(mathpnl) into the console.
data(mathpnl)
A data.frame with 3850 rows and 52 variables:
distid. district identifier
intid. intermediate school district
lunch. percent eligible for free lunch
enrol. school enrollment
ptr. pupil/teacher: 1995-98
found. foundation grant, $: 1995-98
expp. expenditure per pupil
revpp. revenue per pupil
avgsal. average teacher salary
drop. high school dropout rate, percent
grad. high school grad. rate, percent
math4. percent satisfactory, 4th grade math
math7. percent satisfactory, 7th grade math
choice. number choice students
psa. # public school academy studs.
year. 1992-1998
staff. staff per 1000 students
avgben. avg teacher fringe benefits
y92. =1 if year == 1992
y93. =1 if year == 1993
y94. =1 if year == 1994
y95. =1 if year == 1995
y96. =1 if year == 1996
y97. =1 if year == 1997
y98. =1 if year == 1998
lexpp. log(expp)
lfound. log(found)
lexpp_1. lexpp[_n-1]
lfnd_1. lfnd[_n-1]
lenrol. log(enrol)
lenrolsq. lenrol^2
lunchsq. lunch^2
lfndsq. lfnd^2
math4_1. math4[_n-1]
cmath4. math4 - math4_1
gexpp. lexpp - lexpp_1
gexpp_1. gexpp[_n-1
gfound. lfound - lfnd_1
gfnd_1. gfound[_n-1]
clunch. lunch - lunch[_n-1]
clnchsq. lunchsq - lunchsq[_n-1]
genrol. lenrol - lenrol[_n-1]
genrolsq. genrol^2
expp92. expp in 1992
lexpp92. log(expp92)
math4_92. math4 in 1992
cpi. consumer price index
rexpp. real spending per pupil, 1997$
lrexpp. log(rexpp)
lrexpp_1. lrexpp[_n-1]
grexpp. lrexpp - lrexpp_1
grexpp_1. grexpp[_n-1]