Wie benutzt man 'par' zum Manipulieren von Plot-Rändern?

Ich plane einen Boxplot, aber kämpfe um meine bevorzugten äußeren Ränder. Ich verwende den folgenden Code ein:Wie benutzt man 'par' zum Manipulieren von Plot-Rändern?

tiff("Boxplot.tif", height=10, width=10, units="in", res=300, compression="lzw"); 
boxplot(Betadisp, col=c("darkgreen", "blue", "red"), boxwex=0.4, outline=T, 
     ylim=c(0, 0.46), xlim=c(0.75,2.25), names = c("OG", "LIL","HIL"), 
     cex.lab=1.5, ylab="Distance to centroid", xlab='x', las = 1, notch=F, axis=T, at=at.x) 
text(1, 0.36, cex=1.8, bquote(paste("ab"))) 
text(1.5, 0.235, cex=1.8, bquote(paste("a"))) 
text(2, 0.39, cex=1.8, bquote(paste("b"))) 
text(2.2, 0.45, cex=1.8, bquote(paste("NRI"))) 
par(mai = par("mai")*.75, oma = c(0,0,0,0) + 0.1, mar = c(0,0,0,0) + 0.1) 
dev.off()

Ich möchte die äußeren Ränder reduziert werden, insbesondere nach oben und rechts. Die Verwendung von par() scheint nichts zu ändern. Irgendwelche Ratschläge, wie man den Code justiert, würde sehr geschätzt werden.

Die Figur sieht wie folgt aus:

> dput(PMPhyloSOBetadisp) 
structure(list(eig = structure(4.15892930122748, .Names = "PCoA1"), 
    vectors = structure(c(0.187894881623694, -0.0462669264321831, 
    0.078270716100596, -0.0708373862452924, 0.0330432406942923, 
    0.00808151460353643, 0.189307120491109, 0.191686534306445, 
    0.279993576281652, 0.28571659518387, -0.292963094442439, 
    0.130307798194384, -0.108034670599994, -0.279412265592119, 
    -0.317212249248107, -0.201985621091697, 0.0132092286292795, 
    0.396467849399822, 0.0211368138831204, 0.30188342895443, 
    0.206873272795936, 0.138385483231689, 0.124786446212896, 
    -0.281430210350172, -0.0305849438602823, -0.00255636044610587, 
    0.177458408517268, -0.12231080332995, -0.281871351530724, 
    -0.152724144457444, 0.176186794362196, -0.155165330924759, 
    0.0320858194688813, -0.223473307376246, 0.127613754254968, 
    0.166962002449328, 0.158685218038405, 0.100008083268373, 
    -0.0940881894843899, 0.121856979176153, -0.140265149171084, 
    0.0613648415652045, -0.190745874749306, -0.00219528996378689, 
    -0.1430862908501, -0.26172388196876, -0.0727143694332558, 
    0.331841908277, 0.220415829691309, 0.123101542527033, 0.180278291830266, 
    0.215427947847535, 0.190756247591512, 0.165126573796417, 
    0.139890849869231, 0.0933688471441757, 0.0729113372604114, 
    0.19610126202653, -0.0522909285621633, -0.12468483037786, 
    -0.0921365696698343, 0.14270372033243, -0.0720884766538631, 
    0.0606904684333239, -0.15285729454955, -0.144265372972496, 
    -0.0887902944817819, -0.0159417136106468, -0.085279046400012, 
    -0.0691969457493266, 0.147813990005166, -0.2912450223718, 
    0.0852462637551566, -0.158567373346935, -0.100576512229591, 
    0.0057226914258182, -0.325235562525615, -0.0981544032193745, 
    0.0829599052753697, -0.0819102728840672, -0.100848420365388, 
    0.0284072979563995, -0.196807045981046, 0.0738952152156015, 
    0.0448146573968611, -0.0534264885898359, -0.117434245302843, 
    0.0826195634628877, 0.199034727378092, -0.0467567273886303, 
    0.0532651574812087, 0.00569859196113407, -0.120110959638929, 
    -0.0205367406051655, -0.104116321893903, -0.153130831169889, 
    -0.0666402710314291, 0.246990006965615, 0.0540941400034081, 
    -0.0185000753890068, 0.149547217533089, 0.090513237877524, 
    0.00387509228547038, 0.0229945137667384, 0.23535371290394, 
    0.33598374482058, 0.269258915330889, 0.00689306033364249, 
    0.00226287725342899, -0.186909704550723, 0.0841922617367422, 
    -0.119109532559289, -0.209836298377522, 0.145071133844632, 
    -0.332068338669535, -0.0975072972715105, -0.0443222416741678, 
    -0.0980041604145747, -0.219892017644063, 0.282116111212308, 
    0.128980339196711, -0.141574399557034, -0.0657539413882544, 
    -0.45247717974156, -0.183785397552269, 0.128383205531913, 
    -0.0101083206716934, -0.0178247844444956, -0.0133953258963639, 
    0.178986768698698, -0.138538624428617, 0.0432527997337566, 
    -0.603532150600179, -0.286840743894003, 0.331764689135947, 
    0.0383952829464595, 0.174327620102299, 0.050025120352419, 
    -0.00996422334957243), .Dim = c(139L, 1L), .Dimnames = list(
     c("H01", "H02", "H03", "H04", "H05", "H06", "H07", "H08", 
     "H09", "H10", "H11", "H12", "H13", "H14", "H15", "H16", 
     "H17", "H18", "H19", "H20", "H21", "H22", "H23", "H24", 
     "H25", "H26", "H27", "H28", "H29", "H30", "H31", "H32", 
     "H33", "H34", "H35", "H36", "H37", "H38", "H39", "H40", 
     "H41", "H42", "H43", "H44", "H45", "H46", "H47", "H48", 
     "H49", "L01", "L02", "L03", "L04", "L05", "L06", "L07", 
     "L08", "L09", "L10", "L11", "L12", "L13", "L14", "L15", 
     "L16", "L17", "L18", "L19", "L20", "L21", "L22", "L23", 
     "L24", "L25", "L26", "L27", "L28", "L29", "L30", "L31", 
     "L32", "L33", "L34", "L35", "L36", "L37", "L38", "L39", 
     "L40", "L41", "L42", "L43", "L44", "L45", "O01", "O02", 
     "O03", "O04", "O05", "O06", "O07", "O08", "O09", "O10", 
     "O11", "O12", "O13", "O14", "O15", "O16", "O17", "O18", 
     "O19", "O20", "O21", "O22", "O23", "O24", "O25", "O26", 
     "O27", "O28", "O29", "O30", "O31", "O32", "O33", "O34", 
     "O35", "O36", "O37", "O38", "O39", "O40", "O41", "O42", 
     "O43", "O44", "O45"), "PCoA1")), distances = structure(c(0.171774954519456, 
    0.0623868535364207, 0.0621507889963585, 0.0869573133495299, 
    0.0169233135900547, 0.0080384125007011, 0.173187193386872, 
    0.175566607202207, 0.263873649177415, 0.269596668079633, 
    0.309083021546677, 0.114187871090147, 0.124154597704232, 
    0.295532192696357, 0.333332176352344, 0.218105548195935, 
    0.00291069847495801, 0.380347922295584, 0.0050168867788829, 
    0.285763501850193, 0.190753345691698, 0.122265556127451, 
    0.108666519108659, 0.29755013745441, 0.0467048709645198, 
    0.0186762875503434, 0.16133848141303, 0.138430730434188, 
    0.297991278634962, 0.168844071561681, 0.160066867257958, 
    0.171285258028997, 0.0159658923646438, 0.239593234480484, 
    0.11149382715073, 0.150842075345091, 0.142565290934167, 0.0838881561641354, 
    0.110208116588627, 0.105737052071915, 0.156385076275321, 
    0.045244914460967, 0.206865801853543, 0.0183152170680244, 
    0.159206217954337, 0.277843809072997, 0.0888342965374933, 
    0.315721981172762, 0.204295902587072, 0.12797501136046, 0.185151760663692, 
    0.220301416680961, 0.195629716424938, 0.170000042629844, 
    0.144764318702658, 0.0982423159776023, 0.077784806093838, 
    0.200974730859957, 0.0474174597287366, 0.119811361544433, 
    0.0872631008364077, 0.147577189165856, 0.0672150078204365, 
    0.0655639372667505, 0.147983825716124, 0.13939190413907, 
    0.0839168256483553, 0.0110682447772202, 0.0804055775665854, 
    0.0643234769159, 0.152687458838593, 0.286371553538374, 0.0901197325885831, 
    0.153693904513509, 0.0957030433961639, 0.0105961602592448, 
    0.320362093692189, 0.0932809343859479, 0.0878333741087963, 
    0.0770368040506406, 0.0959749515319617, 0.0332807667898261, 
    0.191933577147619, 0.0787686840490281, 0.0496881262302877, 
    0.0485530197564093, 0.112560776469416, 0.0874930322963143, 
    0.203908196211518, 0.0418832585552037, 0.0581386263146353, 
    0.0105720607945607, 0.115237490805503, 0.0156632717717389, 
    0.0914369812138262, 0.140451490489812, 0.0539609303513526, 
    0.259669347645691, 0.0667734806834846, 0.0058207347089303, 
    0.162226558213165, 0.103192578557601, 0.0165544329655469, 
    0.0356738544468149, 0.248033053584017, 0.348663085500656, 
    0.281938256010966, 0.019572401013719, 0.0149422179335055, 
    0.174230363870647, 0.0968716024168187, 0.106430191879212, 
    0.197156957697445, 0.157750474524708, 0.319388997989459, 
    0.084827956591434, 0.0316429009940913, 0.0853248197344982, 
    0.207212676963987, 0.294795451892385, 0.141659679876788, 
    0.128895058876958, 0.0530746007081779, 0.439797839061484, 
    0.171106056872192, 0.141062546211989, 0.00257102000838311, 
    0.00514544376441906, 0.000715985216287402, 0.191666109378775, 
    0.12585928374854, 0.0559321404138331, 0.590852809920102, 
    0.274161403213926, 0.344444029816024, 0.051074623626536, 
    0.187006960782375, 0.0627044610324955, 0.00271511733050407 
    ), .Names = c("H01", "H02", "H03", "H04", "H05", "H06", "H07", 
    "H08", "H09", "H10", "H11", "H12", "H13", "H14", "H15", "H16", 
    "H17", "H18", "H19", "H20", "H21", "H22", "H23", "H24", "H25", 
    "H26", "H27", "H28", "H29", "H30", "H31", "H32", "H33", "H34", 
    "H35", "H36", "H37", "H38", "H39", "H40", "H41", "H42", "H43", 
    "H44", "H45", "H46", "H47", "H48", "H49", "L01", "L02", "L03", 
    "L04", "L05", "L06", "L07", "L08", "L09", "L10", "L11", "L12", 
    "L13", "L14", "L15", "L16", "L17", "L18", "L19", "L20", "L21", 
    "L22", "L23", "L24", "L25", "L26", "L27", "L28", "L29", "L30", 
    "L31", "L32", "L33", "L34", "L35", "L36", "L37", "L38", "L39", 
    "L40", "L41", "L42", "L43", "L44", "L45", "O01", "O02", "O03", 
    "O04", "O05", "O06", "O07", "O08", "O09", "O10", "O11", "O12", 
    "O13", "O14", "O15", "O16", "O17", "O18", "O19", "O20", "O21", 
    "O22", "O23", "O24", "O25", "O26", "O27", "O28", "O29", "O30", 
    "O31", "O32", "O33", "O34", "O35", "O36", "O37", "O38", "O39", 
    "O40", "O41", "O42", "O43", "O44", "O45")), group = structure(c(3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L), .Label = c("1", "2", "3"), class = "factor"), 
    centroids = structure(c(-0.0126793406800765, -0.0048734688334266, 
    0.0161199271042375), .Dim = c(3L, 1L), .Dimnames = list(c("1", 
    "2", "3"), "PCoA1")), call = betadisper(d = PMPhyloSOVegdist, 
     group = Predictors$class, type = "centroid")), .Names = c("eig", 
"vectors", "distances", "group", "centroids", "call"), class = "betadisper", method = "gower", type = "centroid", bias.adjust = FALSE)

Quelle

2017-10-20 tabtimm

versuchen, 'Par' _before_ ändern Sie Ihre Handlung. Schauen Sie sich die Beispiele in '? Par' an. –

In R Basisgraphen, gibt es eine Option in par "ziemlich" Margen zu verwenden. Diese Standardoption erweitert den Datenbereich auf den Achsenwerten für hübsche Beschriftungen um 4%. Dies hat den Nebeneffekt, dass manchmal xlim und ylim ignoriert werden.

Eine Sache zu versuchen ist, diese Option zu wechseln, um genau den Datenbereich zu verwenden. Die Optionen sind xaxs="i" und yaxs="i" für X- bzw. Y-Achsen. Hier

ist ein Beispiel, wo ich verwendet, um Ihre boxplot Code mit und ohne diese Optionen eingeschaltet:

Betadisp<-data.frame(distances= 
         c(0.171774954519456, 
          0.0623868535364207, 0.0621507889963585, 0.0869573133495299, 
          0.0169233135900547, 0.0080384125007011, 0.173187193386872, 
          0.175566607202207, 0.263873649177415, 0.269596668079633, 
          0.309083021546677, 0.114187871090147, 0.124154597704232, 
          0.295532192696357, 0.333332176352344, 0.218105548195935, 
          0.00291069847495801, 0.380347922295584, 0.0050168867788829, 
          0.285763501850193, 0.190753345691698, 0.122265556127451, 
          0.108666519108659, 0.29755013745441, 0.0467048709645198, 
          0.0186762875503434, 0.16133848141303, 0.138430730434188, 
          0.297991278634962, 0.168844071561681, 0.160066867257958, 
          0.171285258028997, 0.0159658923646438, 0.239593234480484, 
          0.11149382715073, 0.150842075345091, 0.142565290934167, 0.0838881561641354, 
          0.110208116588627, 0.105737052071915, 0.156385076275321, 
          0.045244914460967, 0.206865801853543, 0.0183152170680244, 
          0.159206217954337, 0.277843809072997, 0.0888342965374933, 
          0.315721981172762, 0.204295902587072, 0.12797501136046, 0.185151760663692, 
          0.220301416680961, 0.195629716424938, 0.170000042629844, 
          0.144764318702658, 0.0982423159776023, 0.077784806093838, 
          0.200974730859957, 0.0474174597287366, 0.119811361544433, 
          0.0872631008364077, 0.147577189165856, 0.0672150078204365, 
          0.0655639372667505, 0.147983825716124, 0.13939190413907, 
          0.0839168256483553, 0.0110682447772202, 0.0804055775665854, 
          0.0643234769159, 0.152687458838593, 0.286371553538374, 0.0901197325885831, 
          0.153693904513509, 0.0957030433961639, 0.0105961602592448, 
          0.320362093692189, 0.0932809343859479, 0.0878333741087963, 
          0.0770368040506406, 0.0959749515319617, 0.0332807667898261, 
          0.191933577147619, 0.0787686840490281, 0.0496881262302877, 
          0.0485530197564093, 0.112560776469416, 0.0874930322963143, 
          0.203908196211518, 0.0418832585552037, 0.0581386263146353, 
          0.0105720607945607, 0.115237490805503, 0.0156632717717389, 
          0.0914369812138262, 0.140451490489812, 0.0539609303513526, 
          0.259669347645691, 0.0667734806834846, 0.0058207347089303, 
          0.162226558213165, 0.103192578557601, 0.0165544329655469, 
          0.0356738544468149, 0.248033053584017, 0.348663085500656, 
          0.281938256010966, 0.019572401013719, 0.0149422179335055, 
          0.174230363870647, 0.0968716024168187, 0.106430191879212, 
          0.197156957697445, 0.157750474524708, 0.319388997989459, 
          0.084827956591434, 0.0316429009940913, 0.0853248197344982, 
          0.207212676963987, 0.294795451892385, 0.141659679876788, 
          0.128895058876958, 0.0530746007081779, 0.439797839061484, 
          0.171106056872192, 0.141062546211989, 0.00257102000838311, 
          0.00514544376441906, 0.000715985216287402, 0.191666109378775, 
          0.12585928374854, 0.0559321404138331, 0.590852809920102, 
          0.274161403213926, 0.344444029816024, 0.051074623626536, 
          0.187006960782375, 0.0627044610324955, 0.00271511733050407), 
        group=c(3, 
          3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 
          3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 
          3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 
          3, 3, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
          2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
          2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
          2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
          1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
          1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
          1, 1, 1) 
         ) 
Betadisp$group<-factor(Betadisp$group,levels=c("3","2","1"))

Ohne xaxs="i" und yaxs="i":

boxplot(Betadisp$distances ~ Betadisp$group, col=c("darkgreen", "blue", "red"), 
boxwex=0.4, outline=T, ylim=c(0, 0.46), xlim=c(0.75,3.25), names = c("OG", "LIL","HIL"), 
cex.lab=1.5, ylab="Distance to centroid", xlab='x', las = 1, notch=F, axis=T)

Mit xaxs="i" und yaxs="i" :

boxplot(Betadisp$distances ~ Betadisp$group, col=c("darkgreen", "blue", "red"), boxwex=0.4, 
outline=T, ylim=c(0, 0.46), xlim=c(0.75,3.25), names = c("OG", "LIL","HIL"), 
cex.lab=1.5, ylab="Distance to centroid", xlab='x', las = 1, notch=F, axis=T, 
xaxs="i",yaxs="i")

als Referenz, schauen Sie sich rechts oben Punkt. Ich habe keine Randparameter berührt.

Auch Vincent Bonhomme ist richtig: Sie haben par einreichen, bevor Sie Ihr Grundstück/boxplot Code einreichen. Dies liegt daran, dass eine par Änderung nur für den nächsten Satz von Basisdiagrammbefehlen gilt. Die Art und Weise, wie Sie Par in einem tiff() Ausdruck haben, erlaubt es par nichts zu beeinflussen. Verschieben Sie alle par Ausdrücke in die nächste Zeile unter tiff().

Quelle

2017-10-21 03:53:14 David

Das ist ein sehr nützlicher Tipp, danke. Gibt es eine Möglichkeit zu vermeiden, dass die Fehlerleiste die x-Achse überlagert, was im 'ohne' Fall nicht passiert. – tabtimm

Ja, mit 'yaxs =" i "' hast du eine bessere Kontrolle über 'ylim'. Eine Option wäre, ylim = c (0, 0.46) 'in etwas wie 'ylim = c (-0.02, 0.46)' zu ändern, was bedeutet, dass Sie das 'ylim' manuell anpassen können. Abhängig von Ihrer Wahl der "Ylim" -Grenzen müssen Sie möglicherweise die Y-Achse neu zuweisen, so dass Sie auch manuell 0, 0.1, 0.2 usw. angeben. Sie können zum Beispiel 'axis (2, at = seq (0,0.4), ...)' verwenden. – David

Ich habe die Option 'ylim = c (-0.02, 0.46)' verwendet, die wirklich gut funktioniert. Alle Kommentare waren in der Tat sehr hilfreich und lösten das Problem. Vielen Dank! – tabtimm

Wie benutzt man 'par' zum Manipulieren von Plot-Rändern?

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