Reorganize the data (dplyr or other packages?)
Alternatively, melt() from the reshape2 package.
library(reshape2)
melt(x,id.vars="date",measure.vars=c("down","uc","up"),variable.name
="direction",value.name="percentage")
HTH,
Eric
On Mon, Aug 17, 2020 at 10:49 AM Thierry Onkelinx via R-help <
r-help at r-project.org> wrote:
You are looking for tidyr::pivot_longer() Best regards, ir. Thierry Onkelinx Statisticus / Statistician Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance thierry.onkelinx at inbo.be Havenlaan 88 bus 73, 1000 Brussel www.inbo.be /////////////////////////////////////////////////////////////////////////////////////////// To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey /////////////////////////////////////////////////////////////////////////////////////////// <https://www.inbo.be> Op ma 17 aug. 2020 om 09:35 schreef John <miaojpm at gmail.com>:
Is there any quick way (dplyr?) to arrange the data
date down uc up
2019M08 0.01709827 0.2653882 0.7175136
2019M09 0.02094724 0.2265797 0.7524731
2019M10 0.01750911 0.2450030 0.7374879
to
date direction percentage
2019M08 down 0.01709827
2019M09 down 0.02094724
2019M10 down 0.01750911
2019M08 uc 0.2653882
2019M09 uc 0.2265797
2019M10 uc 0.2450030
2019M08 up 0.7175136
2019M09 up 0.7524731
2019M10 up 0.7374879
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