Как добавить вертикальную опорную линию (чтобы не показывать эффекта) в пакете лесных участков в R?
Как добавить вертикальную опорную линию (чтобы не показывать эффекта) в пакете лесных участков в R? Я посмотрел немного, и кажется, что-то делать с gpar и lwd.zero. Как новичок в R, я не знаю, как это решить!
ДАННЫЕ
structure(list(X__1 = c("Cognitive test measures", "Duration to entering value
in symbol digit substitution test",
"Fluid intelligence score", "Interval between previous point and current one
in alphanumeric path test",
"Number of correct matches in pairs matching test at assessment centre",
"Number of correct matches in pairs matching test at online follow-up",
"Number of symbol digit matches attempted", "Number of symbol digit matches
made correctly",
"Time to complete round in pairs matching test", "Willing to attempt cognitive
tests",
"Brain-related measures", "Volume of caudate (left)"), coef.1 = c(-0.2,
0.0123382653500193, 0.010814706993287, 0.0142848736074293,
-0.00108701018181296,
0.0026124715662383, -0.0128619156295441, -0.0133119516466763,
0.015106482926049, -0.000828854349199544, -0.2, -0.00278825569529959
), coef.2 = c(-0.2, 0.0261180629713106, -0.0257732078291571,
0.0215601437119394, -0.0488638940065608, -0.00844930188130684,
-0.00986458016040772, -0.00915734591114574, 0.011005161558929,
0.0622608142362833, -0.2, -0.0194947356287098), coef.3 = c(-0.2,
0.0401645543633051, -0.0456862692794778, 0.0315453246538384,
-0.0723340706054082, -0.0865738572277098, -0.0365283919947763,
-0.0378696328351386, 0.0140274847796567, 0.080588996978667, -0.2,
-0.0743007806841494), lower.1 = c(-0.2, 0.000972614864407613,
-0.00778944954946739, 0.00245552059336553, -0.0543803047565877,
-0.0272887125599502, -0.0242289835454776, -0.0247094685100803,
0.00370693545874832, -0.076866214193048, -0.2, -0.0324411007601927
), lower.2 = c(-0.2, 0.015106656922587, -0.0450834257473941,
0.0101646525177104, -0.0875347179037931, -0.0402607369890945,
-0.053029154624216, -0.0525213434515686, 0.00512428484102225,
0.00538318363517092, -0.2, -0.0488217766084101), lower.3 = c(-0.2,
0.0275829521052594, -0.0679922794999653, 0.0182413645530613,
-0.101221399199782, -0.124622632090091, -0.0491750321967264,
-0.0505430256018185, 0.00813947609587589, 0.0391004893167443,
-0.2, -0.115115397354245), upper.1 = c(-0.2, 0.023703915835631,
0.0294188635360414, 0.0261142266214932, 0.0522062843929617, 0.0325136556924269,
-0.00149484771361069, -0.00191443478327225, 0.0265060303933496,
0.073855748425759, -0.2, 0.0268645893695935), upper.2 = c(NA,
0.0371294690200342, -0.00646298991092, 0.0329556349061685, -0.0101930701093285,
0.0233621332264808, 0.0332999943034006, 0.0342066516292771, 0.0168860382768357,
0.118388558209848, NA, 0.00983230535099052), upper.3 = c(NA,
0.0527461566213508, -0.0233802590589904, 0.0448492847546156,
-0.0434467420110343, -0.0485250823653288, -0.0238817517928261,
-0.0251962400684586, 0.0199154934634376, 0.121693431242002, NA,
-0.0334861640140542)), .Names = c("X__1", "coef.1", "coef.2",
"coef.3", "lower.1", "lower.2", "lower.3", "upper.1", "upper.2",
"upper.3"), row.names = c(NA, -12L), class = c("tbl_df", "tbl",
"data.frame"))