Related
I have the following data frame:
df.test <- data.frame(
id = c("EIF3H", "USP9X", "USP44", "USP51", "USP15",
"USP48", "USP47", "USP43", "USPL1", "UCHL5", "USP50", "USP7",
"UCHL1", "USP11", "USP26", "PAN2", "VCPIP1", "USP46", "USP29",
"USP22", "USP49", "ZRANB1", "OTUD4", "OTUD7B", "USP54", "PSMD14",
"USP20", "USP6", "OTUD3", "USP39", "UCHL3", "USP19", "USP21",
"USP30", "TNFAIP3", "USP17L2", "USP32", "JOSD2", "PSMD7", "ATXN3L",
"SENP2", "STAMBPL1", "USP37", "USP35", "USP3", "ALG13", "USP45",
"Control", "USP9Y", "ATXN3", "OTUD6A", "USP42", "USP12", "MPND",
"USP40", "OTUD1", "USP31", "USP8", "USP13", "USP53", "USP34",
"USP17L5", "MYSM1", "USP36", "OTUD7A", "USP10", "USP2", "USP18",
"OTUB1", "EIF3F", "USP1", "USP14", "COPS5", "USP24", "USP4",
"CYLD", "COPS6", "STAMBP", "USP5", "OTUD6B", "BAP1", "USP25",
"YOD1", "USP28", "USP38", "USP41", "JOSD1", "UCK2", "USP16",
"USP27X", "BRCC3", "USP33", "OTUD5", "OTUB2"),
log.score = c(4.22265293851218, 3.03983376346562,
2.4139305569695, 2.32586482009754, 2.30391458369018, 2.19017103893211,
2.10803347738743, 2.10011933499842, 1.82596928196197, 1.79890343496053,
1.78330640083025, 1.58384231036782, 1.4480988629484, 1.4331502122056,
1.41965675282741, 1.37552194849409, 1.37548070593268, 1.3126672736385,
1.27123241483349, 1.25213781606166, 1.1643918571801, 1.14738583497561,
1.0423927129399, 1.03157776352028, 1.0279685056071, 0.953426802337995,
0.94104282122269, 0.929925173732472, 0.886424283199432, 0.886123467368948,
0.815961921373111, 0.811437095842094, 0.767054687254773,
0.754314635766764, 0.750654863646671, 0.728646377897516,
0.707899061519581, 0.703532261199885, 0.692546751828376,
0.684554481775416, 0.652104306506768, 0.642046105413661,
0.630116510664521, 0.62908000782908, 0.619354680809075, 0.614876544107784,
0.61293067306798, 0.606898831140113, 0.603504247802433, 0.578642901486857,
0.576246380387172, 0.549612309171809, 0.53101794103743, 0.513442014568548,
0.506304999011214, 0.492144128304169, 0.462596515841992,
0.454185884038717, 0.450163300207299, 0.434529992991809,
0.429725658566606, 0.42864060724616, 0.419896514762075, 0.409715596281838,
0.365946146577929, 0.363963683646553, 0.357614629472314,
0.352851847129221, 0.343470593766502, 0.313051079788499,
0.304614649499993, 0.291604597354374, 0.287030586811975,
0.272263598289704, 0.27175988000523, 0.265200170411153, 0.264528852761016,
0.244704590019742, 0.179680291853473, 0.154102353851514,
0.147800680553723, 0.127575655021633, 0.126051956011554,
0.1207205737776, 0.118712371231544, 0.11046860245595, 0.0939775902962627,
0.0673791277640148, 0.066320409857141, 0.0582650179118847,
0.0548860857591892, 0.0374554663486737, 0.0147532091971383,
0.0134163514896924),
neg.rank = 1:94)
From this data frame I made this plot:
library(ggplot2)
x <- "neg.rank"
p <- ggplot(df.test, aes_string(x = x, y = df.test$log.score)) +
geom_point()
I want to add labels to the top10 ids and I tried the following:
library(ggrepel)
library(dplyr)
p + geom_label_repel(data = df.test[df.test[[x]] %in% 1:10, ], aes_string(x = x, y = df$log.score, label = df.test$id))
But this gives me a More than one expression parsed error:
More than one expression parsed
Backtrace:
█
1. ├─ggrepel::geom_label_repel(...)
2. │ └─ggplot2::layer(...)
3. └─ggplot2::aes_string(x = x, y = df$log.score, label = df.test$id)
4. └─base::lapply(...)
5. └─ggplot2:::FUN(X[[i]], ...)
6. └─rlang::parse_expr(x)
I have no clue what is wrong with the code.
It is not working as you are inserting the vectors directly into your aes_string.
If you want yours to be working you need to be strict with your aes_string and really should only use strings:
p +
geom_label_repel(
data = df.test[df.test[[x]] %in% 1:10, ],
aes_string(x = x, y = "log.score", label = "id"),
)
I also added a "cleaner" solution. I changed your subsetting logic to use dplyr, as you are already loading the package anyway and changed all your aes_string() to aes().
library(ggplot2)
library(ggrepel)
library(dplyr)
ggplot(df.test, aes(x = neg.rank, y = log.score)) +
geom_point() +
geom_label_repel(
data = df.test %>% slice_min(neg.rank, n = 10),
aes(label = id),
max.overlaps = 10,
xlim = c(10, NA),
ylim = c(3, NA),
direction = "x"
)
Cheers
Hannes
I have the following data
dput(head(new_data))
structure(list(series = c("serie1", "serie2", "serie3",
"serie4"), Chr1_Coverage = c(0.99593043561, 0.995148711122,
0.996666194154, 1.00012127128), Chr2_Coverage = c(0.998909597935,
0.999350808049, 0.999696737431, 0.999091916132), Chr3_Coverage = c(1.0016871729,
1.00161108919, 0.997719609642, 0.999887319775), Chr4_Coverage = c(1.00238874787,
1.00024296426, 1.0032143002, 1.00118558895), Chr5_Coverage = c(1.00361001984,
1.00233184803, 1.00250793369, 1.00019989912), Chr6_Coverage = c(1.00145962318,
1.00085036645, 0.999767433622, 1.00018523387), Chr7_Coverage = c(1.00089620637,
1.00201715802, 1.00430458519, 1.00027257509), Chr8_Coverage = c(1.00130277775,
1.00332841536, 1.0027493578, 0.998107829176), Chr9_Coverage = c(0.998473062701,
0.999400379593, 1.00130178863, 0.9992796405), Chr10_Coverage = c(0.996508132358,
0.999973856701, 1.00180072957, 1.00172163916), Chr11_Coverage = c(1.00044015107,
0.998982489577, 1.00072330837, 0.998947935281), Chr12_Coverage = c(0.999707836898,
0.996654676531, 0.995380321719, 1.00116773966), Chr13_Coverage = c(1.00199118466,
0.99941499519, 0.999850500793, 0.999717689167), Chr14_Coverage = c(1.00133747054,
1.00232593477, 1.00059139379, 1.00233368187), Chr15_Coverage = c(0.997036875653,
1.0023727983, 1.00020943048, 1.00089130742), Chr16_Coverage = c(1.00527426537,
1.00318861724, 1.0004269482, 1.00471256502), Chr17_Coverage = c(0.995530811404,
0.995103514254, 0.995135851149, 0.99992196636), Chr18_Coverage = c(0.99893371568,
1.00452723685, 1.00006262572, 1.00418478844), Chr19_Coverage = c(1.00510422346,
1.00711968194, 1.00552123413, 1.00527171097), Chr20_Coverage = c(1.00113612137,
1.00130658886, 0.999390191542, 1.00178637085), Chr21_Coverage = c(1.00368753618,
1.00162782873, 1.00056883447, 0.999797571642), Chr22_Coverage = c(0.99677846234,
1.00168287612, 0.997645576841, 0.999297594524), ChrX_Coverage = c(1.04015901555,
0.934772492047, 0.98981339011, 0.999960536561), ChrY_Coverage = c(9.61374227868e-09,
2.50609172398e-07, 8.30448295172e-08, 1.23741398572e-08)), .Names = c("series",
"Chr1_Coverage", "Chr2_Coverage", "Chr3_Coverage", "Chr4_Coverage",
"Chr5_Coverage", "Chr6_Coverage", "Chr7_Coverage", "Chr8_Coverage",
"Chr9_Coverage", "Chr10_Coverage", "Chr11_Coverage", "Chr12_Coverage",
"Chr13_Coverage", "Chr14_Coverage", "Chr15_Coverage", "Chr16_Coverage",
"Chr17_Coverage", "Chr18_Coverage", "Chr19_Coverage", "Chr20_Coverage",
"Chr21_Coverage", "Chr22_Coverage", "ChrX_Coverage", "ChrY_Coverage"
), row.names = c(NA, -4L), class = c("tbl_df", "tbl", "data.frame"
))
and I would like to plot it as this
I thought of transposing the data starting from the second column and name the new transposed data by the first column in the initial data with the following code:
output$Plot_1 <- renderPlotly({
Plot_1_new_data[,2:24] <- lapply(Plot_1_new_data[,2:24], as.numeric)
# first remember the names
n <- as.data.frame(Plot_1_new_data[0:nrow(Plot_1_new_data),1])
# transpose all but the first column (name)
Plot_1_new_data_T <- as.data.frame(t(Plot_1_new_data[,-1]))
colnames(Plot_1_new_data_T) <- n
#plot data
library(reshape)
melt_Transposed_Plot_1_new_data <- melt(Plot_1_new_data_T,id="series")
ggplotly(melt_Transposed_Plot_1_new_data,aes(x=series,y=value,colour=variable,group=variable)) + geom_line()
})
However, when I check the "Plot_1_new_data_T" it seems that the first column is named as c("serie1","serie2",..."serie14") and the rest is named as NA.
Any idea how to proceed because I am new to both R and shiny.
Something like this?
xm = melt(x)
ggplot(xm[xm$variable != 'ChrY_Coverage' & xm$variable != 'ChrX_Coverage', ],
aes(as.integer(variable), value, color=series)) +
geom_line() +
scale_x_continuous(breaks = as.integer(xm$variable),
labels = as.character(xm$variable)) +
theme(axis.text.x = element_text( angle=45, hjust = 1))
ggplotly()
Note that the last two columns were removed from this plot, because they are of such a different scale that including them masks any variation in the other columns. If you want to include all the columns, you could use this instead:
ggplot(xm, aes(as.integer(variable), value, color=series)) +
geom_line() +
...
So I use the following functions for plotting most of the data I have to plot. I created it thanks to different chunks of code that I have found online. So far I have never encountered any issue with it.
Here is the plotting function first.
library(ggplot2)
library(reshape2)
#' Plot a given mean with error bars
#' #param resultTable The table with all the result to plot
#' #param techniques The name of the techniques in the form of a list/vector
#' #param nbTechs The number of given techniques
#' #param ymin The minimum value for y
#' #param ymax The maximum value for y
#' #param xAxisLabel The label for the x (vertical) axis
#' #param yAxisLable The label for the y (horizontal) axis
#' #return
#'
barChartTime <- function(resultTable, techniques, nbTechs = -1, ymin, ymax, xAxisLabel = "I am the X axis", yAxisLabel = "I am the Y Label"){
#tr <- t(resultTable)
if(nbTechs <= 0){
stop('Please give a positive number of Techniques, nbTechs');
}
tr <- as.data.frame(resultTable)
nbTechs <- nbTechs - 1 ; # seq will generate nb+1
#now need to calculate one number for the width of the interval
tr$CI2 <- tr$upperBound_CI - tr$mean_time
tr$CI1 <- tr$mean_time - tr$lowerBound_CI
#add a technique column
tr$technique <- factor(seq.int(0, nbTechs, 1));
breaks <- c(as.character(tr$technique));
print(tr)
g <- ggplot(tr, aes(x=technique, y=mean_time)) +
geom_bar(stat="identity",fill = I("#CCCCCC")) +
geom_errorbar(aes(ymin=mean_time-CI1, ymax=mean_time+CI2),
width=0, # Width of the error bars
size = 1.1
) +
#labs(title="Overall time per technique") +
labs(x = xAxisLabel, y = yAxisLabel) +
scale_y_continuous(limits = c(ymin,ymax)) +
scale_x_discrete(name="",breaks,techniques)+
coord_flip() +
theme(panel.background = element_rect(fill = 'white', colour = 'white'),axis.title=element_text(size = rel(1.2), colour = "black"),axis.text=element_text(size = rel(1.2), colour = "black"),panel.grid.major = element_line(colour = "#DDDDDD"),panel.grid.major.y = element_blank(), panel.grid.minor.y = element_blank())+
geom_point(size=4, colour="black") # dots
print(g)
}
Now, here is (a simplified version of the data) data that I am using (and that reproduces the error):
EucliP,AngularP,EucliR,AngularR,EucliSp,AngularSp,EucliSl,AngularSl
31.6536,30.9863,64.394,92.7838,223.478,117.555,44.7374,25.4852
12.3592,40.7639,70.2508,176.55,10.3927,145.909,143.025,126.667
14.572,8.98445,113.599,150.551,47.1545,54.3019,10.7038,47.7004
41.7957,20.9542,55.1732,67.1647,52.364,41.3655,62.7036,75.65
135.868,83.7135,14.0262,69.7183,44.987,35.9599,19.5183,66.0365
33.5359,17.2129,6.95909,47.518,224.561,91.4999,67.1279,31.4079
25.7285,33.6705,17.4725,58.45,43.1709,113.847,28.9496,20.0574
48.4742,127.588,75.0804,89.1176,31.4494,27.9548,38.4563,126.248
31.9831,80.0161,19.9592,145.891,55.2789,142.738,94.5126,136.099
17.4044,52.3866,49.9976,150.891,104.936,77.2849,232.23,35.6963
153.359,151.897,41.8876,46.3893,79.5218,75.2011,68.9786,91.8972
And here is the code that I am using:
data = read.table("*Path_to_file*.csv", header=T, sep=",")
data$EucliPLog = (data$EucliP) #Before here I used to use a log transform that I tried to remove for some testing
data$EucliRLog = (data$EucliR) #Same thing
data$EucliSpLog = (data$EucliSp) #Same thing
data$EucliSlLog = (data$EucliSl) #Same thing
a1 = t.test(data$EucliPLog)$conf.int[1]
a2 = t.test(data$EucliPLog)$conf.int[2]
b1 = t.test(data$EucliRLog)$conf.int[1]
b2 = t.test(data$EucliRLog)$conf.int[2]
c1 = t.test(data$EucliSpLog)$conf.int[1]
c2 = t.test(data$EucliSpLog)$conf.int[2]
d1 = t.test(data$EucliSlLog)$conf.int[1]
d2 = t.test(data$EucliSlLog)$conf.int[2]
analysisData = c()
analysisData$ratio = c("Sl","Sp","R","P")
analysisData$pointEstimate = c(exp(mean(data$EucliSlLog)),exp(mean(data$EucliSpLog)),exp(mean(data$EucliRLog)),exp(mean(data$EucliPLog)))
analysisData$ci.max = c(exp(d2), exp(c2),exp(b2), exp(a2))
analysisData$ci.min = c(exp(d1), exp(c1),exp(b1), exp(a1))
datatoprint <- data.frame(factor(analysisData$ratio),analysisData$pointEstimate, analysisData$ci.max, analysisData$ci.min)
colnames(datatoprint) <- c("technique", "mean_time", "lowerBound_CI", "upperBound_CI ")
barChartTime(datatoprint,analysisData$ratio ,nbTechs = 4, ymin = 0, ymax = 90, "", "Title")
So If I do use the log() that I mention in the comments of the last piece of code, everything works fine and I get my plots displayed. However, I tried removing the log and I get the famous
Error in matrix(value, n, p) :
'data' must be of a vector type, was 'NULL'
I have tried looking for null values in my data but there are none and I do not know where to look at next. Would love to get some help with that.
Thanks in advance
Edit: Here is the result of dput on datatoprint:
structure(list(technique = structure(c(3L, 4L, 2L, 1L), .Label = c("P",
"R", "Sl", "Sp"), class = "factor"), mean_time = c(1.04016257618464e+32,
1.64430609815788e+36, 7.5457775364611e+20, 3.85267453902928e+21
), lowerBound_CI = c(6.64977706609883e+50, 5.00358136618364e+57,
2.03872433045407e+30, 4.93863589006376e+35), `upperBound_CI ` = c(16270292584857.9,
540361462434140, 279286207454.44, 30055062.6409769)), .Names = c("technique",
"mean_time", "lowerBound_CI", "upperBound_CI "), row.names = c(NA,
-4L), class = "data.frame")
And the dput on analysisData:
structure(list(ratio = c("Sl", "Sp", "R", "P"), pointEstimate = c(1.04016257618464e+32,
1.64430609815788e+36, 7.5457775364611e+20, 3.85267453902928e+21
), ci.max = c(6.64977706609883e+50, 5.00358136618364e+57, 2.03872433045407e+30,
4.93863589006376e+35), ci.min = c(16270292584857.9, 540361462434140,
279286207454.44, 30055062.6409769)), .Names = c("ratio", "pointEstimate",
"ci.max", "ci.min"))
Without the log I don't have anything on display because the value are above 10^40++ whereas with the log it's below the upper limit (90).
I don' get the error you get though.
I've run a spline through some points from a regression and I would like to plot them with ggplot2 where the x scale are years, but I'm not sure how to do this.
How would I override the x-scale to go from 1920-1950?
Data:
df <- structure(list(x = 1:200, y = c(0.00122973667762024, 6.62098801946071e-05,
-0.000959979058174531, -0.00185343528846307, -0.00261876396164689,
-0.0032605702287019, -0.00378345924060399, -0.00419203614832906,
-0.00449090610285299, -0.00468467425515169, -0.00477794575620104,
-0.00477532575697695, -0.0046814194084553, -0.00450083186161199,
-0.00423816826742291, -0.00389803377686397, -0.00348503354091104,
-0.00300377271054004, -0.00245885643672684, -0.00185488987044735,
-0.00119647878632586, -0.000489056540407894, 0.000259484465636334,
0.00104079719045607, 0.00184653459270055, 0.00266834963101903,
0.00349789526406075, 0.00432682445047494, 0.00514679014891087,
0.00594944531801776, 0.00672644291644486, 0.00746943590284142,
0.00817007723585667, 0.00882001987413988, 0.00941091677634026,
0.00993442090110708, 0.0103821852070896, 0.010745862652937, 0.0110171061972986,
0.0111875687988235, 0.011248928362097, 0.0111981513301005, 0.0110440035734643,
0.0107968475027119, 0.010467045528367, 0.010064960060953, 0.00960095351099359,
0.00908538828901222, 0.00852862680553249, 0.00794103147107794,
0.00733296469617213, 0.00671478889133861, 0.00609686646710094,
0.00548955983398266, 0.00490323140250733, 0.00434824358319851,
0.00383495878657975, 0.00337373942317461, 0.00297494790350662,
0.00264894663809936, 0.00240601257949406, 0.00224981076448868,
0.00217279857375538, 0.00216634775507979, 0.00222183005624753,
0.00233061722504423, 0.00248408100925552, 0.00267359315666704,
0.00289052541506439, 0.00312624953223322, 0.00337213725595915,
0.00361956033402782, 0.00385989051422484, 0.00408449954433585,
0.00428475917214646, 0.00445204114544233, 0.00457771721200906,
0.00465315911963229, 0.00466973861609765, 0.00461882744919076,
0.00449196986691963, 0.0042874160634374, 0.00401212749412751,
0.00367364780262395, 0.0032795206325607, 0.00283728962757174,
0.00235449843129108, 0.00183869068735268, 0.00129741003939055,
0.000738200131038661, 0.000168604605931003, -0.000403832892298435,
-0.000971568720015669, -0.00152705923358671, -0.00206276078937758,
-0.00257112974375428, -0.00304462245308283, -0.00347569527372924,
-0.00385680456205953, -0.00418040667443971, -0.00443922939659004,
-0.00463224338937841, -0.00476466218882034, -0.00484197076028562,
-0.00486965406914401, -0.00485319708076528, -0.00479808476051921,
-0.00470980207377557, -0.00459383398590413, -0.00445566546227465,
-0.00430078146825693, -0.00413466696922072, -0.00396280693053579,
-0.00379068631757193, -0.00362379009569889, -0.00346760323028646,
-0.00332761068670441, -0.0032092974303225, -0.00311814842651051,
-0.00305964864063822, -0.00303897089201381, -0.00305661736998701,
-0.00310949480371679, -0.00319441743464015, -0.00330819950419407,
-0.00344765525381556, -0.00360959892494162, -0.00379084475900925,
-0.00398820699745545, -0.00419849988171722, -0.00441853765323156,
-0.00464513455343546, -0.00487510482376593, -0.00510526270565997,
-0.00533242244055458, -0.00555339826988675, -0.00576500443509349,
-0.00596405517761179, -0.00614736473887866, -0.00631174736033109,
-0.00645423379806727, -0.00657409002222406, -0.00667190065928587,
-0.00674826737916529, -0.00680379185177487, -0.00683907574702718,
-0.0068547207348348, -0.0068513284851103, -0.00682950066776623,
-0.00678983895271517, -0.00673294500986969, -0.00665942050914235,
-0.00656986712044573, -0.00646488651369238, -0.00634508035879489,
-0.00621105032566582, -0.00606339808421773, -0.0059027253043632,
-0.00572963365601479, -0.00554472480908507, -0.0053486844807736,
-0.00514281955026036, -0.00492871530336347, -0.00470795833913992,
-0.0044821352566467, -0.0042528326549408, -0.0040216371330792,
-0.0037901352901189, -0.00355991372511687, -0.00333255903713012,
-0.00310965782521562, -0.00289279668843038, -0.00268356222583137,
-0.00248354103647558, -0.00229431971942, -0.00211748487372163,
-0.00195462309843743, -0.00180732099262442, -0.00167716515533957,
-0.00156574218563988, -0.00147461474880411, -0.00140521605759051,
-0.00135893575805815, -0.00133716346343512, -0.00134128878694955,
-0.00137270134182952, -0.00143279074130315, -0.00152294659859854,
-0.0016445585269438, -0.00179901613956701, -0.00198770904969631,
-0.00221202687055977, -0.00247335921538553, -0.00277309569740165,
-0.00311262592983628, -0.00349333952591749, -0.00391662609887341,
-0.00438387526193212, -0.00489647662832175, -0.00545581981127037
)), .Names = c("x", "y"), row.names = c(NA, -200L), class = "data.frame")
I've tried this, but no luck:
ggplot(df, aes(x = x, y = y)) + geom_line() + scale_x_discrete(breaks = 1:31, labels = seq(1920,1950))
You can use tidyr::seq_range() for this
library(ggplot2)
library(tidyr)
df$x <- seq_range(1920:1950,dim(df)[1])
ggplot(df, aes(x = x, y = y) ) + geom_line()
iarray <- iv$iarray
varray <- iv$varray
n<-gsub("^\\{+(.+)\\}+$", '\\1', iarray)
n1 <- strsplit(n,",")
n1 <- unlist(n1)
n1 <- as.numeric(n1)
df <- as.data.frame(n1)
n<-gsub("^\\{+(.+)\\}+$", '\\1', varray)
n2 <- strsplit(n,",")
n2 <- unlist(n2)
n2 <- as.numeric(n2)
df <- cbind(df,n2)
vmpp <-iv$vmpp
impp <- iv$impp
print(impp)
print(vmpp)
})
output$ivcurve <- renderPlot({
ggplot(data3(), aes(x=n2, y= n1)) + geom_line(colour='blue')+ geom_vline(xintercept = vmpp)+ geom_hline(yintercept = impp) + scale_y_continuous(limits = c(-1, 11))
Basically I'm trying to draw an IV curve from the above code.
As seen in the photo I need a horizontal and a vertical line.
But after I added the geom_vline function it gives me the Error : ggplot2 doesn't know how to deal with data of class numeric
iv is a dataframe and iarray and varray basically looks like this.
iarray = "{9.467182035,9.252423958,9.179368178,9.142931845}"
varray = "{-1.025945126,-0.791203874,-0.506481774,-0.255416444}"
And vmpp and impp are basically numbers as 8.5 and 20
suggestions?
P.s :
dput(iv)
structure(list(id = 3L, seris_id = "SERTPTR0003", module_id = 2L,
isc = 9.1043, voc = 37.61426, impp = 8.524, vmpp = 30.0118,
pmpp = 255.8095, unique_halm_id = 4414L, iarray = "{9.471385758,9.251831868,9.174032904,9.135095327,9.109244512,9.087563112,9.081257993,9.079282455,9.078209387,9.077396672,9.076717653,9.076285598,9.075914058,9.075549594,9.075098675,9.074659768,9.074080201,9.073659578,9.073411255,9.073349331,9.073215686,9.073189667,9.073011759,9.072868405,9.072659064,9.072636165,9.072659725,9.072729724,9.072779321,9.072915415,9.072951718,9.072855259,9.072758863,9.072562734,9.072286497,9.072036161,9.071858009,9.07165223,9.071458902,9.071172024,9.070818323,9.070364851,9.069865071,9.069392026,9.069058847,9.068673155,9.068486996,9.0684006,9.068241175,9.067848351,9.067533806,9.066886103,9.066177782,9.0655086,9.065025577,9.064457111,9.064154995,9.063866251,9.063564149,9.063221961,9.06295813,9.062580288,9.062182005,9.06179715,9.061378517,9.060847632,9.06033015,9.059686156,9.058814993,9.057817299,9.056732355,9.055534236,9.054389596,9.05351149,9.052819766,9.052254696,9.051816304,9.051431465,9.051000987,9.050664797,9.050589584,9.050615635,9.050795719,9.051096084,9.05121704,9.050958132,9.050478383,9.049724325,9.048695951,9.047619756,9.046715916,9.04602525,9.045615278,9.045512729,9.045617691,9.045803509,9.045989974,9.046083526,9.045997615,9.045871618,9.045772357,9.045599926,9.045340971,9.045082036,9.04473025,9.044178732,9.043440888,9.042642632,9.04185002,9.041056695,9.040316091,9.039781509,9.039426971,9.039199774,9.039026035,9.038805897,9.038478843,9.037978051,9.037190302,9.036262611,9.035408047,9.034687132,9.03411323,9.033759457,9.033445779,9.033105372,9.032611665,9.031991392,9.031298017,9.030631384,9.029991493,9.02931152,9.028518372,9.027678053,9.026644378,9.025384369,9.023971135,9.022443918,9.020510444,9.018469233,9.015987042,9.013123551,9.009951782,9.006524239,9.002508657,8.99806541,8.993200713,8.987509287,8.980851319,8.97337198,8.964883202,8.955065215,8.944015742,8.931773812,8.91796823,8.902911552,8.886450605,8.868452754,8.848678419,8.827119435,8.80336248,8.777313996,8.748941051,8.718309497,8.685225063,8.649388501,8.610785476,8.569040812,8.52363426,8.474699468,8.422382481,8.366516735,8.307103187,8.244481209,8.178090447,8.10779633,8.033345875,7.954744415,7.871665908,7.784296593,7.692116999,7.595199333,7.493377787,7.386704971,7.275055109,7.158981607,7.038484468,6.913650942,6.784728642,6.651977027,6.515069048,6.374111623,6.228897233,6.079031999,5.924669253,5.766323899,5.604063459,5.43841477,5.26939121,5.096619936,4.919752772,4.738936722,4.554312451,4.366039658,4.174017769,3.978461295,3.779470133,3.576724216,3.370764477,3.162238756,2.951119622,2.737359938,2.521133452,2.302407806,2.08132299,1.858467726,1.632539296,1.397202225,1.149523324,0.890812319,0.62251893,0.349040094,0.084409259,-0.164612445,-0.4001423,-0.625408177,-0.844927296,-1.067373925,-1.297998987,-1.536777099,-1.782558235,-2.033692207,-2.28906274,-2.54694712,-2.806836154,-3.068463186,-3.331653821,-3.596227332,-3.862303417,-4.129421924,-4.397321356,-4.666082505,-4.935632162,-5.206170796,-5.478105728,-5.751638617,-6.027203502,-6.304753878,-6.584235675,-6.865027697,-7.146774939,-7.428922534,-7.711971427,-7.995982555,-8.281623641,-8.569128828,-8.85847189,-9.14887768,-9.440152159,-9.731968139,-10.02382391,-10.315645796,-10.608918155,-10.906228043,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0}",
varray = "{-1.055634971,-0.820094649,-0.530478984,-0.277519378,-0.049665975,0.168173928,0.369832037,0.557189853,0.73806136,0.918444007,1.100988955,1.285835111,1.471379381,1.656087228,1.83947039,2.021804885,2.204138782,2.387586314,2.572217234,2.757544476,2.943083961,3.127927125,3.311936258,3.49497066,3.677517995,3.860273388,4.043516446,4.227247167,4.411953813,4.597148124,4.781785019,4.965795342,5.149247651,5.331933288,5.514618924,5.698279889,5.882706331,6.067759345,6.253369179,6.43883951,6.623542572,6.807967224,6.991834459,7.175283184,7.359219574,7.543715171,7.727930567,7.91102934,8.092315166,8.270881273,8.44728269,8.622987785,8.800575578,8.981370755,9.16634984,9.355446065,9.546982405,9.738937256,9.930334092,10.119987137,10.30698723,10.492242934,10.676242509,10.859335313,11.042009008,11.224684494,11.40735998,11.589966311,11.77250289,11.955040067,12.138134659,12.321927365,12.506347836,12.691464628,12.877626501,13.06357852,13.248553416,13.432761044,13.616063692,13.798391012,13.981067688,14.165071441,14.350401073,14.536497974,14.722526917,14.907441627,15.090542195,15.272247132,15.453463208,15.634886746,15.817842429,16.00302897,16.188982779,16.375285347,16.561309505,16.745870074,16.92840904,17.110739948,17.293002899,17.47610287,17.660388619,17.84523298,18.029659429,18.213737119,18.397257992,18.580849811,18.765279846,18.950546303,19.136368979,19.322329963,19.507382979,19.691527431,19.874834264,20.057444179,20.239565832,20.422106592,20.605414621,20.789699174,20.974891096,21.161129891,21.347647095,21.533745789,21.718937711,21.903640773,22.087576567,22.271163603,22.454611733,22.638548722,22.822346805,23.006144888,23.189873219,23.373392294,23.556911967,23.740989056,23.925624756,24.110540657,24.296084919,24.481558832,24.666267268,24.850416495,25.034286715,25.217528572,25.400211222,25.582891485,25.765153238,25.947554494,26.130303912,26.31319522,26.495810505,26.678077627,26.859158373,27.03919344,27.2183891,27.396813913,27.574889968,27.752475972,27.92950277,28.106320312,28.283627309,28.460794206,28.638101203,28.814990286,28.99097379,29.16472524,29.336732302,29.506996765,29.675866194,29.843757906,30.011789121,30.179820337,30.347501601,30.514694006,30.680631478,30.844614709,31.006505389,31.166790586,31.32526224,31.482546323,31.638644628,31.793695462,31.947491958,32.10059034,32.252713392,32.40427843,32.555147743,32.705110284,32.853817294,33.001129867,33.14656034,33.29010692,33.431979459,33.572526716,33.711957348,33.85055096,33.988306953,34.125295678,34.260890565,34.395089819,34.528311952,34.660559355,34.792040088,34.923102908,35.053748414,35.1835569,35.312946278,35.441359731,35.568936163,35.695816274,35.821859963,35.946717873,36.071016573,36.194685715,36.317446291,36.439648854,36.561153301,36.681402816,36.801235017,36.924136292,37.050595501,37.180333637,37.313071096,37.446575824,37.573873847,37.693009727,37.80489203,37.910636184,38.012195237,38.11396235,38.218102215,38.324333435,38.432308447,38.541817399,38.652023867,38.762158191,38.872501769,38.982844151,39.092768022,39.202552988,39.31199099,39.420452469,39.528287977,39.635566071,39.742146647,39.848308713,39.954401627,40.060004483,40.165396887,40.270857247,40.376317008,40.481775571,40.587234732,40.692485836,40.797320225,40.901805855,41.005874173,41.109873339,41.21366265,41.317242107,41.420542558,41.523772657,41.626762446,41.729471102,41.832232456,41.937530675,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0}"), .Names = c("id",
"seris_id", "module_id", "isc", "voc", "impp", "vmpp", "pmpp",
"unique_halm_id", "iarray", "varray"), row.names = 1L, class = "data.frame")
Solved it. since the ggplot requires data frames. I just added two more columns to the data frame and added them there.
vmpp <- iv$vmpp
df <- cbind(df,vmpp)
impp <- iv$impp
df <- cbind(df,impp)
print(df)
})
output$ivcurve <- renderPlot({
ggplot(data3(), aes(x=n2, y= n1)) + geom_line(colour='blue')+ scale_y_continuous(limits = c(-1, 11))+ geom_vline(aes(xintercept = vmpp))+ geom_hline(aes(yintercept = impp))