R Script Error: Package or namespace load failed for 'tidyverse': .onLoad....

Hi,

Currently unable to resolve the error message below when attempting to refresh my desktop PBI report file. 

I have the following installed on my cpu:

• Download Microsoft R Open 4.0.2
• Download R-4.2.0 for Windows
• R Studio( 2022.02.0 Build 443)
  • install.packages("tidyverse")
  • install.packages("dplyr")
  • install.packages("stringr")
• Microsoft PBI Desktop (2.106.883.0)

The following R- Script is used in my PBI report:

library(tidyverse)
library(dplyr)
library(stringr)

regx_0 <-'([0]{6,}\\d{1})'
regx_9 <-'([9]{6,}\\d{1})'

# Only selecting distinct Material Numbers
dataset <- dataset %>% distinct(`Material Number`)

# Filtering data to records with valid Material Numbers (fewer than 8 digits after decimal)
data_clean <- dataset %>% filter(!str_detect(`Material Number`,'\\.\\d{8,}$'))
data_clean <- data_clean %>% mutate(Material_Number_Clean = `Material Number`)

# Filtering data to invalid records (Material Number > 8 digits after decimal)
data <- dataset %>% filter(str_detect(`Material Number`,'\\.\\d{8,}$'))

# Identifying if floating points are a bunch of 0's or 9's
data00 <- data %>% filter(str_detect(`Material Number`, regx_0))
data99 <- data %>% filter(str_detect(`Material Number`, regx_9))

# If 0's just strip off the floating points
data00 <- data00 %>% mutate(Material_Number_Clean = str_replace(`Material Number`,regx_0,''))

# If 9's, round up one decimal place
data99 <- data99 %>% mutate(Material_Number_Clean = str_replace(`Material Number`,regx_9,''))
data99 <- data99 %>% mutate(round = str_replace_all(Material_Number_Clean,'[0-9]','0'))
data99 <- data99 %>% mutate(round = str_replace(round, '0$','1'))
data99 <- data99 %>% mutate(Material_Number_Clean = as.character(as.numeric(Material_Number_Clean) + as.numeric(round)))
data99 <- data99 %>% select(-round)

# Union clean data, 0's data, and 9's data together
OUT <- bind_rows(data_clean, data00, data99)