Hi Chrish, I am grateful to you for your reply. Your code is working fine. Moreover, you have guided me how to improve my knowledge, I appreciate it. I will be very careful next time. The data which i am working on is given below:
dput(head(data_vol3)) structure(list(index = structure(c(12786, 12787, 12788, 12789, 12790, 12793), tzone = "UTC", tclass = "Date", class = "Date"), crepub = c(1.20601312, 1.176601845, 1.14945752, 1.112667506, 1.076184043, 1.042147848), finland = c(0.614973309, 0.615008409, 0.615034446, 0.615053761, 0.615068089, 0.615078717), france = c(1.896830857, 1.849908737, 1.807150091, 1.763296422, 1.719573044, 1.690600819 ), germany = c(3.01041925, 2.892518667, 2.780918603, 2.672356826, 2.567306135, 2.479892045), italy = c(0.345659867, 0.345675874, 0.345686934, 0.345694578, 0.34569986, 0.34570351), netherlands = c(0.509263785, 0.509279495, 0.509289967, 0.509296947, 0.509301605, 0.509304705 ), norway = c(1.052509528, 0.889357215, 0.784607722, 0.710551664, 0.661473027, 0.629951323), poland = c(1.127163733, 1.12432629, 1.087704091, 1.056705592, 1.024417693, 1.007962456), slovakia = c(0.715652234, 0.706087191, 0.706077173, 0.706104559, 0.70622666, 0.706098981 ), slovenia = c(0.831886154, 0.831945994, 0.832003445, 0.832058602, 0.832111556, 0.832162397), uk = c(1.504813191, 1.463648326, 1.424235397, 1.38618692, 1.349628127, 1.318653737), usa = c(1.521675109, 1.488286869, 1.451778376, 1.418378195, 1.384742397, 1.363477506 )), row.names = c(NA, -6L), class = c("tbl_df", "tbl", "data.frame" )) As there are some countries which are having higher volatilities than countries with lower, is there any suggestion to improve the graph? Looking forward to your suggestion in this regard. With sincere regards, Upananda Pani On Tue, May 2, 2023 at 6:14 PM Chris Evans <chrish...@psyctc.org> wrote: > > I suspect that you have tried to pass your own data into the pivot_longer() > function and your data probably doesn't have the rowN variable. > > First try running the whole of what I sent you. It definitively works for > me. It gives me the attached graph. > > My code, using tribble() to read in the data you sent us, creates a rowN > variable to save me the trouble of deleting those row numbers one by one. > Then I drop that variable with that select(-rowN) line. > > Assuming that works for you running my code on that tiny dataset, and that > you are trying to use the code on your full data frame, called data_vol3 then > try this: > > data_vol3 %>% > # select(-rowN) %>% # I have commented out this line > pivot_longer(cols = -index, # as you want to pivot the other > variables/columns > names_to = "countries") -> tibDataVol3Long > > ggplot(data = tibDataVol3Long, > aes(x = index, y = value, group = countries, colour = countries)) + > geom_line() > > This is a very good illustration of why you should supply data using > dput(data), dput(head(data)) if you have a large dataset. I know it doesn't > feel a very sympathetic piece of advice, but I think you need to spend some > days working on your understanding of R, ggplot and the tidyverse realm of R. > You can use ggplot() without using much of the tidyverse but they are > designed to complement each other and the more I understand of the tidyverse > way of doing things, the better I use ggplot(). > > On 02/05/2023 13:44, Upananda Pani wrote: > > Hi Chris, > > Thank for your solutions and time. I am getting the following error > while trying to execute the code you suggested. > > Error in select(., -rowN) : unused argument (-rowN) > > Regards, > Upananda > > On Tue, May 2, 2023 at 3:08 PM Chris Evans via R-help > <r-help@r-project.org> wrote: > > It's not clear what you want but ... > > On 02/05/2023 10:57, Upananda Pani wrote: > > Dear All, > > I have a dataset which contains date and 12 other countries data. I > have extracted the data as xts object. > > I am not able to recall all the series in the Y axis. My data set > looks like this > > index crepub finland france germany italy netherlands norway poland > <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> > 1 2005-01-03 1.21 0.615 1.90 3.01 0.346 0.509 1.05 1.13 > 2 2005-01-04 1.18 0.615 1.85 2.89 0.346 0.509 0.889 1.12 > 3 2005-01-05 1.15 0.615 1.81 2.78 0.346 0.509 0.785 1.09 > 4 2005-01-06 1.11 0.615 1.76 2.67 0.346 0.509 0.711 1.06 > 5 2005-01-07 1.08 0.615 1.72 2.57 0.346 0.509 0.661 1.02 > 6 2005-01-10 1.04 0.615 1.69 2.48 0.346 0.509 0.630 1.01 > > My code for the same is as follows > > ggplot(data=data_vol3, aes(x=index, y=data_vol3$usa)+ > geom_line()) > > Well you don't need to say that the y data are from data_vol3, your data > = declaration says that. > > I wonder if what you want is: > > library(tidyverse) > > tribble( > ~rowN, ~index, ~crepub, ~finland, ~france, ~germany, ~italy, > ~netherlands, ~norway, ~poland, > 1, "2005-01-03", 1.21, 0.615, 1.90, 3.01, 0.346, 0.509, 1.05, 1.13, > 2, "2005-01-04", 1.18, 0.615, 1.85, 2.89, 0.346, 0.509, 0.889, 1.12, > 3, "2005-01-05", 1.15, 0.615, 1.81, 2.78, 0.346, 0.509, 0.785, 1.09, > 4, "2005-01-06", 1.11, 0.615, 1.76, 2.67, 0.346, 0.509, 0.711, 1.06, > 5, "2005-01-07", 1.08, 0.615, 1.72, 2.57, 0.346, 0.509, 0.661, 1.02, > 6, "2005-01-10", 1.04, 0.615, 1.69, 2.48, 0.346, 0.509, 0.630, 1.01) > -> data_vol3 > > ### please give us data using dput in future: saves us having to do > something like that to reclaim it! > > ### pivot that longer to make it easy to get country data as separate lines > > data_vol3 %>% select(-rowN) %>% > pivot_longer(cols = -index, # as you want to pivot the other > variables/columns > names_to = "countries") -> tibDataVol3Long > > ggplot(data = tibDataVol3Long, > aes(x = index, y = value, > ### now get the grouping and use it for a colour legend > group = countries, colour = countries)) + > geom_line() > > Any help in this regard will be highly appreciated > > With regards, > Upananda Pani > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > -- > Chris Evans (he/him) > Visiting Professor, UDLA, Quito, Ecuador & Honorary Professor, > University of Roehampton, London, UK. > Work web site: https://www.psyctc.org/psyctc/ > CORE site: http://www.coresystemtrust.org.uk/ > Personal site: https://www.psyctc.org/pelerinage2016/ > Emeetings (Thursdays): > <https://www.psyctc.org/pelerinage2016/>https://www.psyctc.org/psyctc/booking-meetings-with-me/ > (Beware: French time, generally an hour ahead of UK) > <https://ombook.psyctc.org/book> > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > -- > Chris Evans (he/him) > Visiting Professor, UDLA, Quito, Ecuador & Honorary Professor, University of > Roehampton, London, UK. > Work web site: https://www.psyctc.org/psyctc/ > CORE site: http://www.coresystemtrust.org.uk/ > Personal site: https://www.psyctc.org/pelerinage2016/ > Emeetings (Thursdays): https://www.psyctc.org/psyctc/booking-meetings-with-me/ > (Beware: French time, generally an hour ahead of UK) ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.