I want to apply different length of ticks in one ggplot graph, like this: enter image description here
I tried to use
scale_x_continuous(breaks = c(seq(0,1, by = 0.1),seq(1,5,1)))
to customize the ticks but this only gives different step sizes. Any suggestions? enter image description here
Sorry the images are attached as links.
What you are observing is the effect of a logged x scale.
library(dplyr)
library(ggplot2)
library(readr)
"x,y
0.09838589987314314, 431.84212280818747
0.19646546437091444, 1072.2954863657576
0.29750771557320366, 1347.2844856323754
0.3955242765781446, 1546.716447763184
0.49672163253953483, 1501.5827721848123
0.5940891079858363, 1320.5680378691911
0.6990737071572558, 1178.7879191946129
0.7962694810692876, 1061.1374091606106
0.8923393306748771, 919.3252883525568
0.9838589987314309, 831.8421228081871
1.1025615087338325, 744.3696246416428
1.1863284538600922, 678.0025335022334
1.286887658830817, 599.5653043536236
1.3959707710478373, 554.3356223748249
1.4898579966508398, 509.09527301820117
1.6030497343115249, 454.80365357690516
1.6696092455367386, 403.50956730448706
1.7674609336378837, 376.37709180612046
1.886333052497789, 346.2310820721382
1.9968863894545188, 322.11747449829977
2.079798216336457, 291.9554636975797
2.31183906016707, 255.79838655910407
2.5078022414885948, 213.5875725048336
2.6764666574617317, 192.49816654443634
2.9033375196831206, 162.36282418827932
3.0238856986296256, 153.3328888592573
3.149439104611845, 144.3029535302353
3.3340199781197377, 132.26481765451013
3.500818628686328, 117.20248016534447
3.6759620972244393, 111.19674644976362
3.7975657368770896, 99.14260950730068
3.923192118001404, 96.14507633842254
4.086085223703413, 96.17174478298557
4.616479953856948, 78.13854256950458
5.089953102964006, 63.10820721381424
5.61198637258845, 57.13447563170894
6.038356194859665, 51.14474298286564
6.712049082852011, 42.15747716514443
6.990737071572554, 33.12754183612242
7.521857271241964, 36.194412960864156
8.093329248357565, 27.185812387492433
8.226106849449925, 27.19647976531769
8.498232760057107, 27.217814520968204
8.85108408255861, 24.22561504100281
9.446371423329051, 24.268284552303612" %>%
read_csv() %>%
ggplot(aes(x, y)) +
geom_point() +
geom_line() +
scale_y_continuous(breaks = seq(0, 1600, 200)) +
labs(x = "Window mm",
y = element_blank()) -> p
p
Produces this:
But if we log the x scale:
p +
scale_x_log10(breaks = c(seq(0.1, 0.3, 0.1), seq(0.4, 0.8, 0.2), 1:10),
labels = c(seq(0.1, 0.3, 0.1), seq(0.4, 0.8, 0.2), 1:10))
We get this:
Now you will have to apply this to your data.
