Ich versuche, eine Korrelationskarte zu visualisieren, und ich denke, dass ich es bis auf das Durcheinander der X-Achsenbeschriftungen zum Laufen gebracht habe. Irgendwelche Vorschläge, wie man sie dreht? Einige der Parameter für viele der Basis-R-Plots scheinen für Levelplots nicht verfügbar zu sein. Es ist möglich, dass ich nicht weiß, wovon ich rede.Wie man die X-Achsenbeschriftungen um 90 Grad in Levelplot dreht
Dies ist die Daten, die ich verwendet:
cor2<-structure(c(1, -0.0389681095266643, -0.0389681095266643, 0.178476154216706,
-0.178476154216706, -0.168494117498168, -0.0531355593389041,
-0.0627159607856109, -0.11922152176561, 0.00887070126495505,
-0.0721998017906867, -0.140654273521441, 0.0257953297166468,
-0.0504004052031319, -0.057270788080051, -0.0918121581058645,
-0.0389681095266643, 1, 1, -0.207885482210833, 0.207885482210833,
0.221906241587463, 0.285338260198777, 0.370743678038144, 0.219208701879567,
0.266580102221828, 0.193378655575033, 0.23922965323291, 0.164352387360997,
0.229607796224011, 0.184412911672718, -0.250294366329347, -0.0389681095266643,
1, 1, -0.207885482210833, 0.207885482210833, 0.221906241587463,
0.285338260198777, 0.370743678038144, 0.219208701879567, 0.266580102221828,
0.193378655575033, 0.23922965323291, 0.164352387360997, 0.229607796224011,
0.184412911672718, -0.250294366329347, 0.178476154216706, -0.207885482210833,
-0.207885482210833, 1, -1, -0.836264694082863, 0.0968492347163521,
-0.529206721168992, -0.368511719318385, -0.370488391611307, -0.446552321746797,
-0.0946404317035884, -0.166601542941319, -0.371982811624152,
-0.0551151773556682, -0.0252777576827408, -0.178476154216706,
0.207885482210833, 0.207885482210833, -1, 1, 0.836264694082863,
-0.0968492347163521, 0.529206721168992, 0.368511719318385, 0.370488391611307,
0.446552321746797, 0.0946404317035884, 0.166601542941319, 0.371982811624152,
0.0551151773556682, 0.0252777576827408, -0.168494117498168, 0.221906241587463,
0.221906241587463, -0.836264694082863, 0.836264694082863, 1,
-0.0484257163697656, 0.493261440648374, 0.421352971692481, 0.335283617372406,
0.42535494057661, 0.0277745485055271, 0.0990554932499753, 0.268268745412774,
0.106129159123147, 0.0645326205432567, -0.0531355593389041, 0.285338260198777,
0.285338260198777, 0.0968492347163521, -0.0968492347163521, -0.0484257163697656,
1, -0.525318257575221, -0.160726744335619, -0.530266513726872,
-0.523896249354085, 0.0821688285842216, 0.120061871987285, -0.0462809753885581,
0.0894673511307366, -0.157709074647179, -0.0627159607856109,
0.370743678038144, 0.370743678038144, -0.529206721168992, 0.529206721168992,
0.493261440648374, -0.525318257575221, 1, 0.450831181390043,
0.894070902852474, 0.937461049803717, 0.120717838386174, 0.0922093724569894,
0.421886104540215, 0.0686035045695465, -0.0259181463830899, -0.11922152176561,
0.219208701879567, 0.219208701879567, -0.368511719318385, 0.368511719318385,
0.421352971692481, -0.160726744335619, 0.450831181390043, 1,
0.194931612275736, 0.475810998910999, 0.0674296214446775, 0.0665009602984884,
0.181289860729344, -0.0399243218645222, -0.0918283721705961,
0.00887070126495505, 0.266580102221828, 0.266580102221828, -0.370488391611307,
0.370488391611307, 0.335283617372406, -0.530266513726872, 0.894070902852474,
0.194931612275736, 1, 0.955425650934062, 0.0881868869011078,
0.139156258136006, 0.310078412850343, 0.137566770975812, -0.0893525009590147,
-0.0721998017906867, 0.193378655575033, 0.193378655575033, -0.446552321746797,
0.446552321746797, 0.42535494057661, -0.523896249354085, 0.937461049803717,
0.475810998910999, 0.955425650934062, 1, 0.0988326951129949,
0.147058790355866, 0.336760945050752, 0.110616903520016, -0.107521647802021,
-0.140654273521441, 0.23922965323291, 0.23922965323291, -0.0946404317035884,
0.0946404317035884, 0.0277745485055271, 0.0821688285842216, 0.120717838386174,
0.0674296214446775, 0.0881868869011078, 0.0988326951129949, 1,
0.746502805562635, 0.144029358291222, 0.496146773442592, -0.464865772986093,
0.0257953297166468, 0.164352387360997, 0.164352387360997, -0.166601542941319,
0.166601542941319, 0.0990554932499753, 0.120061871987285, 0.0922093724569894,
0.0665009602984884, 0.139156258136006, 0.147058790355866, 0.746502805562635,
1, 0.068339761274059, 0.546006730280353, -0.392180163611345,
-0.0504004052031319, 0.229607796224011, 0.229607796224011, -0.371982811624152,
0.371982811624152, 0.268268745412774, -0.0462809753885581, 0.421886104540215,
0.181289860729344, 0.310078412850343, 0.336760945050752, 0.144029358291222,
0.068339761274059, 1, -0.118872875719514, 0.0250634712618911,
-0.057270788080051, 0.184412911672718, 0.184412911672718, -0.0551151773556682,
0.0551151773556682, 0.106129159123147, 0.0894673511307366, 0.0686035045695465,
-0.0399243218645222, 0.137566770975812, 0.110616903520016, 0.496146773442592,
0.546006730280353, -0.118872875719514, 1, -0.0649756207052158,
-0.0918121581058645, -0.250294366329347, -0.250294366329347,
-0.0252777576827408, 0.0252777576827408, 0.0645326205432567,
-0.157709074647179, -0.0259181463830899, -0.0918283721705961,
-0.0893525009590147, -0.107521647802021, -0.464865772986093,
-0.392180163611345, 0.0250634712618911, -0.0649756207052158,
1), .Dim = c(16L, 16L), .Dimnames = list(c("ID", "QnWeight_initial",
"QnWeight_initial_mg", "Days_till_1st_Wrkr", "Days_before_max_Wrkr_Eclosion",
"Wrkr_Eclosion_Bin", "QnMass_At_Wrkr_Eclosion", "ColonyMass_At_Wrkr_Eclosion",
"Adult_Wrkrs_At_Wrkr_Eclosion", "Mature_Brood_At_Wrkr_Eclosion",
"Sum_wrkrsPlusBrood_At_Wrkr_Eclosion", "QnMass_2wksLater", "QnMass_4wksLater",
"ColonyMass_4wksLater", "QnMass_2mnthsLater", "ColonyMass_2mnthsLater"
), c("ID", "QnWeight_initial", "QnWeight_initial_mg", "Days_till_1st_Wrkr",
"Days_before_max_Wrkr_Eclosion", "Wrkr_Eclosion_Bin", "QnMass_At_Wrkr_Eclosion",
"ColonyMass_At_Wrkr_Eclosion", "Adult_Wrkrs_At_Wrkr_Eclosion",
"Mature_Brood_At_Wrkr_Eclosion", "Sum_wrkrsPlusBrood_At_Wrkr_Eclosion",
"QnMass_2wksLater", "QnMass_4wksLater", "ColonyMass_4wksLater",
"QnMass_2mnthsLater", "ColonyMass_2mnthsLater")))
Mein Code:
rgb.palette <- colorRampPalette(c("blue", "yellow"), space = "rgb")
levelplot(cor2, aspect="iso", main="Correlation Matrix", xlab="", xaxt='n', ylab="", col.regions=rgb.palette(120), cuts=100, at=seq(0,1,0.01)) #, names.arg=paste(cor2[,1]),las=3
#this is what I tried, and it didn't work. I couldn't get names(cor2) to work, but I guess that this is a separate question.
labs<- (cor2[,0])
text(cex=1, x=x-0.25, y=-1.5, labs, xpd=TRUE, srt=90)
##want something like this, but can't find an analogous way to remove axisnames and add text
#x <- barplot(table(mtcars$cyl),axisnames=FALSE)#,xaxt="n"
#labs <- paste(names(table(mtcars$cyl)), "cylinders")
#text(cex=1, x=x-0.25, y=-1.5, labs, xpd=TRUE, srt=90)
Es sieht so aus, als müssten Sie tief in 'gitter' (und vielleicht' grid') graben, um dies zu tun. Für Anfänger wollen Sie die Gitterfunktion 'ltext()' anstelle der Basisgrafik 'text()'. Auch für die Labels benötigen Sie 'labs <- colnames (cor2)'. – bdemarest