Conditional change of a column in a data frame - r

Question

Apologies in advance if this has already been asked elsewhere, but I've tried different attempts and nothing has worked so far.
I have a data frame Data containing the measurements of air pollution. The columns "Measuring.Unit" and "Uncertainty.Unit" show that most of the measurements are expressed in "mol/L" but some of them are expressed are "mol/mL.
head(Data)
Locality.Name Chemical Concentration Measuring.Unit Uncertainty Uncertainty.Unit
1 xxxx NH3 0.065 mol/L 0.010 mol/L
2 xxxx CO 0.015 mol/L 0.004 mol/L
3 xxxx CO2 0.056 mol/L 0.006 mol/L
4 xxxx O3 0.67 mol/mL 0.010 mol/mL
5 xxxx H2SO4 0.007 mol/L 0.0008 mol/L
6 xxxx NO 0.89 mol/mL 0.08 mol/mL
Before starting any analysis, I want to change each value expressed in mol/mL in mol/L using a simple function and of course, change the associated character "mol/mL" in "mol/L". This should be something like this (but I guess there are much simple ways using dplyr or tidyverse)
:
# First step
if (Data$Measuring.Unit == "mol/mL") {Data$Concentration <- Data$Concentration * 1000 }
else {Data$Concentration <- Data$Concentration }
if (Data$Uncertainty.Unit == "mol/mL") {Data$Uncertainty <- Data$Uncertainty * 1000 }
else {Data$Uncertainty <- Data$Uncertainty}
# Second step
Data$Measuring.Unit[Data$Measuring.Unit == 'mol/mL'] <- 'mol/L'
Data$Uncertainty.Unit[Data$Uncertainty.Unit == 'mol/mL'] <- 'mol/L'

Answer 1

You can try:
Data$Concentration <- ifelse(Data$Measuring.Unit == "mol/mL",Data$Concentration * 1000,Data$Concentration)
Data$Uncertainty <- ifelse(Data$Uncertainty.Unit == "mol/mL",Data$Uncertainty * 1000,Data$Uncertainty)
This step looks fine:
Data$Measuring.Unit[Data$Measuring.Unit == 'mol/mL'] <- 'mol/L'
Data$Uncertainty.Unit[Data$Uncertainty.Unit == 'mol/mL'] <- 'mol/L'
if() is used for values while ifelse() is vectorized for dataframes.