изменить метку оси X

Question

Я начинаю работать с R и делаю первые попытки построить данные, я превратил набор данных в таблицу данных, которая выглядит следующим образом

и теперь я пытаюсь построить его, имея атаку по оси Y, и мне нужен тип по оси X, но я не могу заставить его работать. самое близкое, что я получил, выглядит следующим образом

и построено с помощью plot(best$Ataque_Combinado,xlab=best$type,pch=5,cex.lab=0.7)

, data.table содержит следующую информацию, полученную с помощью dput ():

structure(list(type = c("dragon flying", "psychic", "ground", 
"psychic ghost", "water", "rock fairy", "steel ghost", "water dark", 
"dragon ground", "fire fighting", "dragon psychic", "dragon ice", 
"fighting steel", "bug fighting", "dragon electric", "water dragon", 
"steel dragon", "dragon fire", "dark", "fire ground", "grass ice", 
"fairy", "dark flying", "fire flying", "rock dark", "electric", 
"ghost", "normal", "grass", "rock flying", "ground flying", "steel psychic", 
"psychic steel", "electric flying", "psychic fairy", "water ground", 
"grass steel", "bug steel", "ice", "ghost dragon", "fire water", 
"ghost poison", "rock", "psychic fighting", "grass dark", "grass psychic", 
"dark dragon", "dark fire", "water flying", "fire", "steel fairy", 
"grass grass", "bug", "grass poison", "fighting", "fire steel", 
"ghost grass", "grass fairy", "normal flying", "bug electric", 
"electric fairy", "dragon fighting", "dragon", "flying", "steel flying", 
"grass ghost", "normal psychic", "water psychic", "rock fighting", 
"steel rock", "ice ground", "poison", "psychic grass", "psychic fire", 
"water fighting", "water fairy", "electric steel", "ghost fire", 
"ground rock", "water steel", "rock bug", "fire dark", "fighting ice", 
"fighting dark", "bug fire", "normal dragon", "poison fighting", 
"grass fighting", "water rock", "rock dragon", "bug flying", 
"poison ground", "ground steel", "bug water", "dark steel", "grass ground", 
"ghost dark", "ground dark", "fire psychic", "steel ground", 
"normal fighting", "rock water", "ground ghost", "fighting psychic", 
"ground dragon", "water ice", "psychic flying", "steel fighting", 
"electric electric", "ice flying", "rock poison", "rock ground", 
"fire normal", "rock ice", "ice water", "ghost ground", "poison fire", 
"bug grass", "poison dragon", "poison poison", "bug rock", "steel", 
"dark ghost", "ghost flying", "electric ghost", "fire dragon", 
"fairy flying", "bug poison", "fire fire", "dark ice", "fighting flying", 
"flying dragon", "poison dark", "ice psychic", "electric normal", 
"rock grass", "normal grass", "dark psychic", "poison flying", 
"ice ghost", "water grass", "normal fairy", "ground ground", 
"water poison", "rock psychic", "bug fairy", "fire ice", "ground electric", 
"grass flying", "water ghost", "ghost fairy", "normal water", 
"ground psychic", "fire rock", "dark fighting", "normal dark", 
"water electric", "ground fire", "rock steel", "ground ice", 
"bug ghost", "water bug", "poison water", "normal ground", "poison bug", 
"bug ground"), Ataque_Combinado = c(1.82223460573976, 1.73223739203121, 
1.66759543048203, 1.66258010587908, 1.6600724435776, 1.6110337141265, 
1.50543326831987, 1.49387015881861, 1.45890220117024, 1.45639453886877, 
1.44887155196434, 1.44636388966286, 1.42685984954026, 1.36815268877125, 
1.35079409306213, 1.3432711061577, 1.3432711061577, 1.3432711061577, 
1.32502089718585, 1.31749791028142, 1.31535246586793, 1.30479242128727, 
1.30479242128727, 1.30317637224854, 1.29760378935637, 1.29426023962106, 
1.29269991641126, 1.27598216773475, 1.26344385622736, 1.25550292560602, 
1.24644747840624, 1.24644747840624, 1.24444134856506, 1.23641682920033, 
1.23140150459738, 1.22192811368069, 1.20392867093898, 1.18863193089997, 
1.18863193089997, 1.18863193089997, 1.1861242685985, 1.14906659236556, 
1.14837001950404, 1.14837001950404, 1.13583170799666, 1.13332404569518, 
1.13332404569518, 1.12956255224296, 1.12008916132627, 1.11382000557258, 
1.10504318751741, 1.09674003900808, 1.09431596544999, 1.09083310114238, 
1.08679297854556, 1.07801616049039, 1.07283365840067, 1.06227361382001, 
1.04973530231262, 1.04722764001115, 1.0327389244915, 1.03148509334076, 
1.02897743103929, 1.02897743103929, 1.01891891891892, 1.01526887712455, 
1.01022568960713, 0.996935079409306, 0.98985789913625, 0.987461688492616, 
0.98495402619114, 0.977431039286709, 0.977431039286709, 0.977431039286709, 
0.975564224017832, 0.97091111730287, 0.969908052382279, 0.966146558930064, 
0.961688492616328, 0.958456394538869, 0.957926999164113, 0.955419336862636, 
0.954527723599889, 0.947366954583449, 0.941627194204514, 0.941627194204514, 
0.937698523265533, 0.933407634438562, 0.933045416550571, 0.931150738367233, 
0.930175536361103, 0.910922262468654, 0.908888269713012, 0.906380607411535, 
0.906380607411535, 0.897213708553915, 0.892950682641404, 0.888910560044581, 
0.88202842017275, 0.880607411535247, 0.880607411535247, 0.87809974923377, 
0.875202006129841, 0.874338255781555, 0.874338255781555, 0.873084424630816, 
0.871830593480078, 0.871830593480078, 0.87057676232934, 0.87057676232934, 
0.862552242964614, 0.853580384508219, 0.850849818891056, 0.847952075787127, 
0.843549735302313, 0.842295904151574, 0.83953747561995, 0.839008080245194, 
0.826831986625801, 0.824045695179716, 0.824045695179716, 0.822791864028977, 
0.819030370576762, 0.817776539426024, 0.814015045973809, 0.812120367790471, 
0.810253552521594, 0.809556979660072, 0.80523822791864, 0.802033992755642, 
0.800167177486765, 0.799804959598774, 0.790108665366397, 0.784480356645305, 
0.780579548620786, 0.77679019225411, 0.7712454722764, 0.769239342435219, 
0.768737809974923, 0.766230147673447, 0.76372248537197, 0.737949289495681, 
0.719699080523823, 0.718445249373084, 0.718445249373084, 0.708414600167177, 
0.701114516578434, 0.695709111173029, 0.687656728893842, 0.683895235441627, 
0.665645026469769, 0.66439119531903, 0.660629701866815, 0.655614377263862, 
0.63987183059348, 0.63234884368905, 0.626692672053497, 0.611590972415715, 
0.605321816662023, 0.59083310114238, 0.562552242964614, 0.557536918361661, 
0.555029256060184, 0.481861242685985, 0.346336026748398, 0.319308999721371
)), row.names = c(NA, -166L), class = c("data.table", "data.frame"
), .internal.selfref = <pointer: 0x000001bf49fe1ef0>)```

я пробовал axis() mtext() cex.lab xaxt, но ни один из них, похоже, не помог или не использовался правильно, заранее спасибо за любую помощь

Answer 1

Вы можете сделать следующее, учитывая тот факт, что вы не предоставили data frame должным образом. Я использовал фиктивный пример:

dat = data.frame(
  label = sample(c(1, 2, 3), 150, replace = TRUE),
  val = rgamma(150, 50)
)

dat$label = factor(
  dat$label, levels = 1:3,
  labels = c("First", "Second", "Third")
)

plot(dat$label, dat$val)

Или в вашем случае type - это string:

dat = data.frame(
  label = sample(c("First", "Second", "Third"), 150, replace = TRUE),
  val = rgamma(150, 50)
)

dat$label = factor(
  dat$label)

plot(dat$label, dat$val)

Результат:

Таким образом, поворот столбца type к коэффициенту с нужными метками даст вам результатВы хотите