The new Feature of Power BI R visual have three type of limitation:

• Power BI version
• Type of R script
• R use Limitation

I ‘ll try to resume this limitations to give you more information to use correclty R visual on Power bI

Power Bi License

R visuals require a Power BI Pro license to render in reports, refresh, filter and cross-filter. The following table describes R visuals capabilities based on licensing.

R Limitation

R visuals in the Power BI service have a few limitations:

• Data size limitations,only the top 150,000 rows are used and a message is displayed on the image.
• Calculation time limitation – if an R visual calculation exceeds 60 seconds the script times out, resulting in an error.
• R visuals is not interactive and does not support tool tips.
• You cannot click on elements in the R visual in order to cross filter other elements.
• R visuals are currently not supported for the Time data type. Please use Date/Time instead.
• R Visuals do not display when using Publish to web.
• R visuals currently do not print with dashboard and reports printing
• R visuals are currently not supported in the DirectQuery mode of Analysis Services

Type of R script:

The following R packages are currently supported in the Power BI service. These packages are in alphabetical order.

• abc
  abc.data
  acepack
  actuar
  ade4
  AdMit
  aod
  ape
  aplpack
  approximator
  arm
  arules
  arulesViz
  assertthat
  AzureML
  BACCO
  BaM
  BAS
  base64enc
  BDA
  bayesm
  bayesmix
  bayesQR
  bayesSurv
  BayesTree
  BayHaz
  bbemkr
  BCBCSF
  BCE
  bclust
  BenfordTests
  bisoreg
  bit
  bit64
  bitops
  BMA
  Bmix
  BMS0
  bnlearn,
  boa
  boot
  bootstrap
  bqtl
  BradleyTerry2
  brew
  brglm,
  bspec
  bspmma
  BVS
  C50
  calibrator
  car
  caret,
  catnet
  caTools
  cclust
  class
  clue
  cluster
  clusterSim
  coda
  coin
  CORElearn
  corpcor
  corrplot
  crayon
  cslogistic
  cubature
  cvTools
  data.table
  date
  dclone
  deal
  Deducer
  DeducerExtras
  deepnet
  deldir
  dendextend
  DEoptimR
  deSolve
  devtools
  DiagrammeR
  dichromat
  digest
  distrom
  dlm
  DMwR
  doParallel
  doSNOW
  dplyr
  DPpackage
  dse
  dtw
  e1071
  earth
  EbayesThresh
  ebdbNet
  ellipse
  emulator
  ensembleBMA
  entropy
  EvalEst
  evaluate
  evdbayes
  exactLoglinTest
  expm
  extremevalues
  FactoMineR
  factorQR
  faoutlier
  fBasics
  fields
  filehash
  fitdistrplus
  flashClust
  FME
  foreach
  forecast
  Formula
  fracdiff
  fTrading
  gam
  gamlr
  gclus
  gdata
  gee
  gender
  genetics
  geoRglm
  geosphere
  GGally
  ggdendro
  ggmap
  ggmcmc
  ggplot2
  ggthemes
  glmmBUGS
  glmnet
  gmodels
  gmp
  gnm
  GPArotation
• gridBase
  gridExtra
  growcurves
  grpreg
  gss
  gsubfn
  gtable
  gtools
  haplo.stats
  hash
  hbsae
  hdrcde
  heavy
  HH
  HI
  Hmisc
  HSAUR
  ifultools
  igraph
  intervals
  iplots
  ipred
  irlba
  irr
  iterators
  jpeg
  jsonlite
  kernlab
  KernSmooth
  KFKSDS
  kinship2
  kknn
  klaR
  knitr
  ks
  labeling
  lars
  lattice
  latticeExtra
  lava
  lavaan
  lazyeval
  leaps
  LearnBayes
  LiblineaR
  limSolve
  lme4
  lmm
  lmtest
  locfit
  locpol
  LogicReg
  longitudinalData
  lsa
  LSAfun
  lubridate
  magic
  magrittr
  mapdata
  mapproj
  maps
  maptree
  MASS
  MasterBayes
  Matrix
  matrixcalc
  MatrixModels
  maxent
  maxLik
  mboost
  MCMCpack
  mda
  memoise
  mi
  mice
  microbenchmark
  mime
  miniCRAN
  misc3d
  miscF
  miscTools
  mixtools
  mlbench
  mnormt
  MNP
  modeltools
  mombf
  monomvn
  MSBVAR
  msm
  multcomp
  munsell
• mvtnorm
  ncvreg
  nlme
  nloptr
  NLP
  NMF
  nnet
  nnls
  numbers
  numDeriv
  openNLP
  openNLPdata
  OutlierDC
  pacbpred
  party
  partykit
  PAWL
  pbivnorm
  pcaPP
  pdc
  PerformanceAnalytics
  plotmo
  plotrix
  pls
  plyr
  png
  polynom
  PottsUtils
  predmixcor
  PresenceAbsence
  profdpm
  proto
  proxy
  pryr
  pscl
  psych
  qap
  qdap
  qdapRegex
  quadprog
  quantreg
  qvcalc
  R.oo
  .utils
  ramps
  RandomFieldsUtils
  RColorBrewer
  Rcpp
  RcppArmadillo
  RcppEigen
  registry
  relimp
  reshape
  reshape2
  rgdal
  rgl
  RGraphics
  rjags
  rjson
  RJSONIO
  Rmpfr
  rmN
• robustbase
  ROCR
  rpart.plot
  rrcov
  rscproxy
  RSGHB
  RTextTools
  rworldmap
  SampleSizeMeans
  SampleSizeProportions
  sbgcop
  scales
  scatterplot3d
  sciplot
  segmented
  seriation
  setRNG
  sfsmisc
  SimpleTable
  SIS
  skmeans
  slam
  smoothSurv
  sna
  snow
  SnowballC
  snowFT
  sp
  spacetime
  spam
  SparseM
  spatial
  spBayes
  spdep
  spikeslab
  splancs
  spls
  spTimer
  sqldf
  sROC
  stabledist
  stabs
  stepPlr
  stringdist
  stringr
  stsm
  stsm.class
  survival
  tau
  tcltk2
  tensorA
  textcat
  textir
  tfplot
  TH.data
  tidyr
  timeDate
  timeSeries
  tm
  topicmodels
  tree
  TSclust
  tseries
  tsfa
  tsoutliers
  TSP
  TTR
  vcd
  venneuler
  VGAM
  VIM
  whisker
  wordcloud
  xgboost
  XML
  xts
  yaml
  zipfR
  zoo

The following R packages are planned to be supported soon in the Power BI service. These packages are in alphabetical order.

AER, base64, beanplot, broom, calibrate, circlize, corrgram, descr, dynlm, flexclust, flexmix, fpc, futile.options, gdtools, ggm, ggrepel, gstat, lambda.r, lsmeans, MAPA, mixOmics, msm, pixmap, plot3D, pracma, qcc, qgraph, R.rsp, rasterVis, rex, shape, sjPlot, sm, spatstat, statmod, survey, threejs, tibble, tiff, TSA, tsintermittent, vars, VIM, vioplot