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interaktiomallit1-6_vaihe5-extra.R
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interaktiomallit1-6_vaihe5-extra.R
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#Vuosimuuttujan muodostaminen:
x <- c(1,2,3)
levels(x) <- c("2002-2006", "2008-2012", "2014-2018")
#Ennustettujen todennäköisyyksien syöttäminen:
#interaktiomalli 1, naiset:
int1nperusmeans <- c(.22783, .22721,.21209)
int1nperuslowers <- c(.21861,.21715,.20038)
int1nperusuppers <- c( .23732,.23759,.22430)
int1ntokameans <- c(.16823,.14673,.14142)
int1ntokalowers <- c(.15955,.13974,.13464)
int1ntokauppers <- c(.17727,.15401,.14848)
int1nkorkmeans<- c(.15211,.10602,.07368)
int1nkorklowers<- c(.14348,.09831,.06740)
int1nkorkuppers <- c(.16116,.11425,.08050)
Nint1n <- 9221
#interaktiomalli 3, naiset
int3nperusmeans <- c( .23597,.24307,.21147 )
int3nperuslowers <- c( .20930,.21617,.18368 )
int3nperusuppers <- c( .26467, .27195,.24197 )
int3ntokameans <- c( .16309,.14538,.13910 )
int3ntokalowers <- c( .14219, .12753,.12173 )
int3ntokauppers <- c( .18620,.16511,.15835 )
int3nkorkmeans<- c(.15607,.10403, .07554 )
int3nkorklowers<- c( .13582, .08789,.06268 )
int3nkorkuppers <- c( .17853,.12260,.09070 )
Nint3n <- 8642
#interaktiomalli 1, miehet:
int1perusmeansm <- c( 0.04316, 0.04301, 0.03952 )
int1peruslowersm <- c( 0.04035, 0.04007, 0.03645 )
int1perusuppersm <- c( 0.04615, 0.04615, 0.04285 )
int1tokameansm <- c( 0.02999, 0.02561, 0.02456 )
int1tokalowersm <- c( 0.02781, 0.02385, 0.02286 )
int1tokauppersm <- c( 0.03233, 0.02751, 0.02638 )
int1korkmeansm <- c( 0.02669, 0.01780, 0.01201 )
int1korklowersm <- c( 0.02458, 0.01618, 0.01080 )
int1korkuppersm <- c(0.02897, 0.01958, 0.01336 )
Nint1m <- 8706
#interaktiomalli 3, miehet:
int3perusmeansm <- c( .03857, .04030, .03294 )
int3peruslowersm <- c( .03218, .03366, .02687 )
int3perusuppersm <- c( .04613, .04815, .04028 )
int3tokameansm <- c( .02712, .02396, .02311 )
int3tokalowersm <- c( .02247, .02001, .01927 )
int3tokauppersm <- c( .03268, .02865, .02769 )
int3korkmeansm <- c( .02808, .01688, .01226 )
int3korklowersm <- c( .02321, .01369, .00980 )
int3korkuppersm <- c( .03394, .02080, .01532 )
Nint3m <- 8188
#Interaktiomalli 4, miehet:
int4toimeenmeansm <- c( .03243, .02479, .02071 )
int4toimeenlowersm <- c( .02687, .02041, .01690 )
int4toimeenuppersm <- c( .03909, .03010, .02536 )
int4vaikmeansm <- c( .04916, .05645, .05047 )
int4vaiklowersm <- c( .03742, .04363, .03817 )
int4vaikuppersm <- c( .06433, .07273, .06646 )
Nint4m <- 8664
#Interaktiomalli 6, miehet:
int6toimeenmeansm <- c( .02951, .02317, .01893 )
int6toimeenlowersm <- c( .02488, .01956, .01590 )
int6toimeenuppersm <- c( .03495, .02744, .02252 )
int6vaikmeansm <- c( .04593, .05255, .04629 )
int6vaiklowersm <- c( .03706, .04292, .03705 )
int6vaikuppersm <- c( .05675, .06410, .05764 )
Nint6m <- 8157
#Interaktiomalli 4, naiset:
int4toimeenmeansn <- c( .17372, .13984, .11797 )
int4toimeenlowersn <- c( .15433, .12296, .10245 )
int4toimeenuppersn <- c( .19500, .15861, .13548 )
int4vaikmeansn <- c( .24686, .27064, .24854 )
int4vaiklowersn <- c( .20321, .22667, .20316 )
int4vaikuppersn <- c( .29636, .31959, .30018 )
Nint4n <- 9165
#Interaktiomalli 6, naiset:
int6toimeenmeansn <- c( .17442, .14140, .11865 )
int6toimeenlowersn <- c(.15507, .12526, .10437 )
int6toimeenuppersn <- c(.19549, .15915, .13450 )
int6vaikmeansn <- c( .24546, .26846, .23024 )
int6vaiklowersn <- c( .21152, .23482, .19716 )
int6vaikuppersn <- c( .28259, .30473, .26670 )
Nint6n <- 8606
#Koko aineisto, koulutusaste by vuosi:
ex1perusmeans <- c( 0.14042, 0.13818, 0.12339 )
ex1peruslowers <- c( 0.12644, 0.12312, 0.10672 )
ex1perusuppers <- c( 0.15568, 0.15475, 0.14225 )
ex1tokameans <- c( 0.09519, 0.08459, 0.08192 )
ex1tokalowers <- c( 0.08336, 0.07493, 0.07254 )
ex1tokauppers <- c( 0.10850, 0.09536, 0.09239 )
ex1korkmeans <- c( 0.10048, 0.06595, 0.04621 )
ex1korklowers <- c( 0.08689, 0.05476, 0.03716 )
ex1korkuppers <- c( 0.11594, 0.07925, 0.05732 )
Nex1 <- (17928)
#TÄSTÄ ETEENPÄIN SYÖTETÄÄN PIIRTURIIN MUUTTUJIA:
# warnings()
#################################################
#y1-y3 1. kategoria
#y4-y6 2. kategoria:
#means y3
y3 <- int4toimeenmeansm
#lowers y2
y2 <- int4toimeenlowersm
#uppers y1
y1 <- int4toimeenuppersm
y4 <- int4vaikmeansm
y5 <- int4vaiklowersm
y6 <- int4vaikuppersm
#Malleissa 1-3 käytetään kolmannelle asteelle seuraavia:
#y7-y9 kolmas kategoria
y7 <- int1nkorkmeans
y8 <- int1nkorklowers
y9 <- int1nkorkuppers
#extra
y3 <- ex1perusmeans
y2 <- ex1peruslowers
y1 <- ex1perusuppers
y4 <- ex1tokameans
y5 <- ex1tokalowers
y6 <- ex1tokauppers
y7 <- ex1korkmeans
y8 <- ex1korklowers
y9 <- ex1korkuppers
####### RESET ###########
dev.off()
#########################
########### MIES(MODATTU-katso edellinen fileversio)VASTAAJIEN SKAALA: #############
#par(oma=c(2,2,2,2))
par(mar=c(6,6,6,10))
# plottaus alkaa
plot(x, y2, type = "b", pch=5, frame = FALSE, lty= 3, lwd=1,
col = "#6BD7AF", xlab = "vuosijakso", ylab = "Ennustettu todennäköisyys:\n turvattomuuden kokeminen",
main = "Kaikki vastaajat, koulutusasteen ja vuosijakson interaktio", xlim = c(0.8,3.2),ylim=c(0,0.2), xaxt="n")
axis(1, at = c(1,2,3), labels=levels(x))
#naiset axis(2, at=seq(0,0.3,by=0.05)) // nämä mätchättävä myös ekaan plot()-funktioon
#naiset axis(2, at=seq(0,0.35,by=0.05))
#miehet axis(2, at=seq(0,0.1,by=0.02))
axis(2, at=seq(0,0.2,by=0.05))
#title(ylab="Ennustettu todennäköisyys:\n turvattomuuden kokeminen", line=2, cex.lab=1.2)
# Add a second line
lines(x, y1, col = "#6BD7AF", type = "b", pch=2, lty = 2, lwd=1)
polygon(c(x, rev(x)), c(y2, rev(y1)),
col = "#6BD7AF",
density = 10, angle = 45, border=0)
lines(x, y1, col = "#6BD7AF", type = "b", pch=2, lty = 3, lwd=1)
lines(x, y2, col = "#6BD7AF", type = "b", pch=2, lty = 2, lwd=1)
lines(x, y3, pch = 2, col = "blue", type = "b", lty = 1)
grid(nx = NULL,
ny = NULL,
lty = 2, col = "lightgray", lwd = 1)
#lisätään toinen kategoria
#värejä esim "#3CC3BD" "#FD8210"
lines(x, y5, col = "#FD8210", type = "b", pch=1, lty = 3, lwd=1)
lines(x, y6, col = "#FD8210", type = "b", pch=1, lty = 3, lwd=1)
polygon(c(x, rev(x)), c(y5, rev(y6)),
col = "#FD8210",
density = 10, angle = 10, border=0)
lines(x, y5, col = "#FD8210", type = "b", pch=1, lty = 2, lwd=1)
lines(x, y6, col = "#FD8210", type = "b", pch=1, lty = 3, lwd=1)
lines(x, y4, pch = 1, col = "#FF00FF", type = "b", lty = 1)
#lisätään kolmas kategoria
lines(x, y8, col = "#7bfff5", type = "b", pch=2, lty = 2, lwd=1)
lines(x, y9, col = "#7bfff5", type = "b", pch=2, lty = 3, lwd=1)
polygon(c(x, rev(x)), c(y8, rev(y9)),
col = "#7bddff",
density = 10, angle = 125, border=0)
lines(x, y8, col = "#7bddff", type = "b", pch=2, lty = 2, lwd=1)
lines(x, y9, col = "#7bddff", type = "b", pch=2, lty = 3, lwd=1)
lines(x, y7, col = "#9b58fc", type = "b", pch=2, lty = 1, lwd=1)
# Legend koulutusasteen mukaan
legend("topright", inset=c(-0.23,0), xpd=TRUE, legend=c("Perusaste", "CI95% ylempi", "CI95% alempi"),
col=c("blue", "#6BD7AF", "#6BD7AF"), lty = c(1,3,2), pch=5, cex=0.9)
legend("topright", inset=c(-0.23,0.11), xpd=TRUE, legend=c("Toinen aste", "CI95% ylempi", "CI95% alempi"),
col=c("#FF00FF", "#FD8210", "#FD8210"), lty = c(1,3,2), pch=1, cex=0.9)
legend("topright", inset=c(-0.23,0.22), xpd=TRUE, legend=c("Korkea-aste", "CI95% ylempi", "CI95% alempi"),
col=c("#9b58fc", "#7bfff5", "#7bfff5"), lty = c(1,3,2), pch=2, cex=0.9)
#legend("topright", inset=c(-0.23,0.34), xpd=TRUE, legend="(N = 8188)")
legend("bottomright",inset=c(-0.21,0), xpd=TRUE, legend=paste("N = ", Nex1))
################################################
#legend toimeentulon mukaan
legend("topright", inset=c(-0.23,0.11), xpd=TRUE, legend=c("Tulee toimeen", "CI95% ylempi", "CI95% alempi"),
col=c("blue", "#6BD7AF", "#6BD7AF"), lty = c(1,3,2), pch=2, cex=0.9)
legend("topright", inset=c(-0.23,0), xpd=TRUE, legend=c("Vaikeuksia tulla toimeen", "CI95% ylempi", "CI95% alempi"),
col=c("#FF00FF", "#FD8210", "#FD8210"), lty = c(1,3,2), pch=1, cex=0.9)
legend("bottomright",inset=c(-0.21,0), xpd=TRUE, legend=paste("N = ", Nint4m))
dev.off()
########### NAISVASTAAJIEN SKAALA: ###########
#par(oma=c(2,2,2,2))
par(mar=c(6,6,6,10))
# plottaus alkaa
plot(x, y2, type = "b", pch=5, frame = FALSE, lty= 3, lwd=1,
col = "#6BD7AF", xlab = "vuosijakso", ylab = "Ennustettu todennäköisyys:\n turvattomuuden kokeminen", main = "Interaktiomalli 3, naisvastaajat", xlim = c(0.8,3.2),ylim=c(0,0.3), xaxt="n")
axis(1, at = c(1,2,3), labels=levels(x))
axis(2, at=seq(0,0.3,by=0.05))
#title(ylab="Ennustettu todennäköisyys:\n turvattomuuden kokeminen", line=2, cex.lab=1.2)
# Add a second line
lines(x, y1, col = "#6BD7AF", type = "b", pch=5, lty = 2, lwd=1)
polygon(c(x, rev(x)), c(y2, rev(y1)),
col = "#6BD7AF",
density = 10, angle = 45, border=0)
lines(x, y1, col = "#6BD7AF", type = "b", pch=5, lty = 3, lwd=1)
lines(x, y2, col = "#6BD7AF", type = "b", pch=5, lty = 3, lwd=1)
lines(x, y3, pch = 5, col = "blue", type = "b", lty = 1)
grid(nx = NULL,
ny = NULL,
lty = 2, col = "lightgray", lwd = 1)
#lisätään toinen aste
#värejä esim "#3CC3BD" "#FD8210"
lines(x, y5, col = "#FD8210", type = "b", pch=1, lty = 3, lwd=1)
lines(x, y6, col = "#FD8210", type = "b", pch=1, lty = 3, lwd=1)
polygon(c(x, rev(x)), c(y5, rev(y6)),
col = "#FD8210",
density = 10, angle = 10, border=0)
lines(x, y5, col = "#FD8210", type = "b", pch=1, lty = 3, lwd=1)
lines(x, y6, col = "#FD8210", type = "b", pch=1, lty = 3, lwd=1)
lines(x, y4, pch = 1, col = "#FF00FF", type = "b", lty = 1)
#lisätään kolmas aste
lines(x, y8, col = "#7bfff5", type = "b", pch=2, lty = 3, lwd=1)
lines(x, y9, col = "#7bfff5", type = "b", pch=2, lty = 3, lwd=1)
polygon(c(x, rev(x)), c(y8, rev(y9)),
col = "#7bddff",
density = 10, angle = 125, border=0)
lines(x, y8, col = "#7bddff", type = "b", pch=2, lty = 3, lwd=1)
lines(x, y9, col = "#7bddff", type = "b", pch=2, lty = 3, lwd=1)
lines(x, y7, col = "#9b58fc", type = "b", pch=2, lty = 1, lwd=1)
# Legend
legend("topright", inset=c(-0.23,0), xpd=TRUE, legend=c("Perusaste", "CI95% ylempi", "CI95% alempi"),
col=c("blue", "#6BD7AF", "#6BD7AF"), lty = c(1,3,2), pch=5, cex=0.9)
legend("topright", inset=c(-0.23,0.11), xpd=TRUE, legend=c("Toinen aste", "CI95% alempi", "CI95% ylempi"),
col=c("#FF00FF", "#FD8210", "#FD8210"), lty = c(1,3,2), pch=1, cex=0.9)
legend("topright", inset=c(-0.23,0.22), xpd=TRUE, legend=c("Korkea-aste", "CI95% alempi", "CI95% ylempi"),
col=c("#9b58fc", "#7bfff5", "#7bfff5"), lty = c(1,3,2), pch=2, cex=0.9)
legend("bottomright",inset=c(-0.21,0), xpd=TRUE, legend=paste("N = ", Nint6m))
#####################################################
dev.off()
par(plot.new())
warnings()