[R] change the height or scale of the y axis

[legen]

Hallo, All,

I have a question about changing the height or scale of the y axis. When I
use following two R codes, I can get two plots. Please look at the y axes,
the number of indices (x1, x2, …) on the y axis in the first plot is smaller
than that in the second plot, and hence the space between any two indices in
the first plot is wider than that in the second plot. As the number of
indices increases, the space will vanish and the indices will overlap. I
want to display all the indices on the y axis in the second plot, just look
like that in the first plot. How to separate the indices on the y axis in
the second plot? I guess maybe changing the height or scale of y axis is a
way to solve my problem, but I failed to do it after several trails. Anybody
can help me? Thank you in advance.

Legen

The first R code:
x<-c("x1","x2","x3","x4","x5","x6","x7","x8","x9","x10")
y<-sample(0:100,10,replace=F)
d<-data.frame(y)
rownames(d)<-x
r<-nrow(d)
i<-1:r
plot(d$y,i,xlab="",ylab="",axes=F)
axis(1)
axis(2,at=i,labels=x)

The second R code:
x<-c("x1","x2","x3","x4","x5","x6","x7","x8","x9","x10",
     "x11","x12","x13","x14","x15","x16","x17","x18","x19","x20",
     "x21","x22","x23","x24","x25","x26","x27","x28","x29","x30",
     "x31","x32","x33","x34","x35","x36","x37","x38","x39","x40",
     "x41","x42","x43","x44","x45","x46","x47","x48","x49","x50",
     "x51","x52","x53","x54","x55","x56","x57","x58","x59","x60",
     "x61","x62","x63","x64","x65","x66","x67","x68","x69","x70",
     "x71","x72","x73","x74","x75","x76","x77","x78","x79","x80",
     "x81","x82","x83","x84","x85","x86","x87","x88","x89","x90",
     "x91","x92","x93","x94","x95","x96","x97","x98","x99","x100",
     "x101","x102","x103","x104","x105","x106","x107","x108","x109","x110",
     "x111","x112","x113","x114","x115","x116","x117","x118","x119","x120",
     "x121","x122","x123","x124","x125","x126","x127","x128","x129","x130",
     "x131","x132","x133","x134","x135","x136","x137","x138","x139","x140",
     "x141","x142","x143","x144","x145","x146","x147","x148","x149","x150",
     "x151","x152","x153","x154","x155","x156","x157","x158","x159","x160",
     "x161","x162","x163","x164","x165","x166","x167","x168","x169","x170",
     "x171","x172","x173","x174","x175","x176","x177","x178","x179","x180",
     "x181","x182","x183","x184","x185","x186","x187","x188","x189","x190",
     "x191","x192","x193","x194","x195","x196","x197","x198","x199","x200")
y<-sample(0:300,200,replace=F)
d<-data.frame(y)
rownames(d)<-x
r<-nrow(d)
i<-1:r
plot(d$y,i,xlab="",ylab="",axes=F)
axis(1)
axis(2,at=i,labels=x)

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