This is my dataframe:
dp<-structure(list(`Element Name` = c("Nitric acid (concentrated)",
"Sulphuric acid(concentrated)", "2-hydroxybenzoic acid", "Acetic anhydride",
"2-Naphthol", "Sodium Hydroxide", "Phenyl hydrazine hydrochloride",
"Glucose", "Sodium acetate", "Aniline", "Zinc poweder", "2-amino-benzoic acid",
"1.3-dihydroxybenzene", "Ethyl acetate", "hydroxy benzene", "phenyl methanol",
"Sodium carbonate", "Potassium permanganate", "Sodium bisulfite.",
"Hydrochloric acid (concentrated)", "Sodium nitrite", "Copper(II) sulfate",
"Methyl orange", "EtOH", "Distilled water", "cuper ion", "ammonium hydroxide",
"ammonium hydroxide", "Iron( III)", "Potassium Thiocyanate",
"ferric ammonium sulfate", "Ammonium Sulfate", "sodium hypochlorite",
"Acetic acid", "Phenolphthalein", "Sodium carbonate", "Sodum hydroxide",
"Acetic acid", "Phenolphthalein", "Methyl orange", "Phosphoric acid",
"Sodium carbonate", "Iron(II) sulfate", "Potassium permanganate",
"Sulfuric Acid", "Barium Chloride.monoHydrate", "Distilled water",
"nickel Sulphate", "Dimethyl glyoxime (DMG)", "Calsium chloride"
), DemandCourse = c(375, 1050, 300, 1614, 225, 75, 414, 414,
225, 450, 111, 675, 105, 120, 375, 75, 75, 375, 150, 750, 264,975, 20, 250, 30, 25, 2500, 2500, 15, 730, 25, 170, 75, 255,
10, 160, 144, 54, 15, 18, 132, 48, 138, 36, 300, 2250, 45, 1500,
90, 999), AmountsAv = c(1000, 3000, 4000, 1000, 750, 750, 2000,
5000, 150, 24000, 450, 3000, 1400, 400, 400, 250, 250, 1000,
1000, 7500, 6400, 900, 250, 1500, 20000, 50, 300, 4000, 200,
3000, 500, 1200, 1000, 6000, 900, 250, 200, 6000, 900, 250, 200,
250, 150, 1000, 15000, 3000, 20000, 1500, 600, 7500)), row.names = c(NA,
-50L), class = c("tbl_df", "tbl", "data.frame"), na.action = structure(c(`1` = 1L,
`24` = 24L, `32` = 32L, `36` = 36L, `38` = 38L, `42` = 42L, `45` = 45L,
`49` = 49L, `66` = 66L, `111` = 111L, `140` = 140L, `151` = 151L,
`154` = 154L, `164` = 164L, `169` = 169L, `171` = 171L, `175` = 175L,
`185` = 185L, `193` = 193L, `227` = 227L, `252` = 252L, `253` = 253L,
`256` = 256L, `257` = 257L, `258` = 258L, `262` = 262L, `263` = 263L,
`265` = 265L, `275` = 275L, `276` = 276L, `277` = 277L, `279` = 279L,
`280` = 280L, `281` = 281L, `282` = 282L, `283` = 283L, `284` = 284L,
`285` = 285L, `286` = 286L, `288` = 288L, `289` = 289L, `290` = 290L,
`291` = 291L, `292` = 292L, `293` = 293L, `298` = 298L, `299` = 299L,
`300` = 300L, `302` = 302L, `303` = 303L, `304` = 304L, `308` = 308L,
`309` = 309L, `310` = 310L, `311` = 311L, `312` = 312L, `314` = 314L,
`315` = 315L, `316` = 316L, `317` = 317L, `318` = 318L, `319` = 319L, `323` = 323L, `325` = 325L), class = "omit"))
and Im trying to:
dp <- dp %>%
group_by(c(`Element Name`)) %>%
summarise(across(everything(), sum, na.rm = TRUE))
but I get:
Error in `summarise()`:
! Problem while computing `..1 = across(everything(), sum, na.rm = TRUE)`.
i The error occurred in group 1: c(`Element Name`) = "1.3-dihydroxybenzene".
Caused by error in `across()`:
! Problem while computing column `Element Name`.
Caused by error in `fn()`:
! invalid 'type' (character) of argument
Run `rlang::last_error()` to see where the error occurred.
>Solution :
Just remove the concatenation (c) in group_by
library(dplyr)
dp %>%
group_by(`Element Name`) %>%
summarise(across(everything(), sum, na.rm = TRUE))
-output
# A tibble: 42 × 3
`Element Name` DemandCourse AmountsAv
<chr> <dbl> <dbl>
1 1.3-dihydroxybenzene 105 1400
2 2-amino-benzoic acid 675 3000
3 2-hydroxybenzoic acid 300 4000
4 2-Naphthol 225 750
5 Acetic acid 309 12000
6 Acetic anhydride 1614 1000
7 ammonium hydroxide 5000 4300
8 Ammonium Sulfate 170 1200
9 Aniline 450 24000
10 Barium Chloride.monoHydrate 2250 3000
# … with 32 more rows