```
set.seed(123)
sheet1 = as.sheet(
matrix(sample(c(1:10,NA), 30, replace = TRUE), 10)
)
result = let(sheet1,
# count 8
exact = count_row_if(8, V1, V2, V3),
# count values greater than 8
greater = count_row_if(gt(8), V1, V2, V3),
# count integer values between 5 and 8, e. g. 5, 6, 7, 8
integer_range = count_row_if(5:8, V1, V2, V3),
# count values between 5 and 8
range = count_row_if(5 %thru% 8, V1, V2, V3),
# count NA
na = count_row_if(is.na, V1, V2, V3),
# count not-NA
not_na = count_row_if(not_na, V1, V2, V3),
# are there any 5 in each row?
has_five = cbind(V1, V2, V3) %row_in% 5
)
print(result)
mean_row_if(6, sheet1$V1, data = sheet1)
median_row_if(gt(2), sheet1$V1, sheet1$V2, sheet1$V3)
sd_row_if(5 %thru% 8, sheet1$V1, sheet1$V2, sheet1$V3)
if_na(sheet1) = 5 # replace NA
# custom apply
apply_col_if(prod, gt(2), sheet1$V1, data = sheet1) # product of all elements by columns
apply_row_if(prod, gt(2), sheet1$V1, data = sheet1) # product of all elements by rows
# Examples borrowed from Microsoft Excel help for COUNTIF
sheet1 = text_to_columns(
"
a b
apples 32
oranges 54
peaches 75
apples 86
"
)
count_if("apples", sheet1$a) # 2
count_if("apples", sheet1) # 2
with(sheet1, count_if("apples", a, b)) # 2
count_if(gt(55), sheet1$b) # greater than 55 = 2
count_if(ne(75), sheet1$b) # not equal 75 = 3
count_if(ge(32), sheet1$b) # greater than or equal 32 = 4
count_if(gt(32) & lt(86), sheet1$b) # 2
# count only integer values between 33 and 85
count_if(33:85, sheet1$b) # 2
# values with letters
count_if(regex("^[A-z]+$"), sheet1) # 4
# values that started on 'a'
count_if(regex("^a"), sheet1) # 2
# count_row_if
count_row_if(regex("^a"), sheet1) # c(1,0,0,1)
sheet1 %row_in% 'apples' # c(TRUE,FALSE,FALSE,TRUE)
# Some of Microsoft Excel examples for SUMIF/AVERAGEIF/etc
sheet1 = text_to_columns(
"
property_value commission data
100000 7000 250000
200000 14000
300000 21000
400000 28000
"
)
# Sum of commision for property value greater than 160000
with(sheet1, sum_if(gt(160000), property_value, data = commission)) # 63000
# Sum of property value greater than 160000
with(sheet1, sum_if(gt(160000), property_value)) # 900000
# Sum of commision for property value equals to 300000
with(sheet1, sum_if(300000, property_value, data = commission)) # 21000
# Sum of commision for property value greater than first value of data
with(sheet1, sum_if(gt(data[1]), property_value, data = commission)) # 49000
sheet1 = text_to_columns(
"
category food sales
Vegetables Tomatoes 2300
Vegetables Celery 5500
Fruits Oranges 800
NA Butter 400
Vegetables Carrots 4200
Fruits Apples 1200
"
)
# Sum of sales for Fruits
with(sheet1, sum_if("Fruits", category, data = sales)) # 2000
# Sum of sales for Vegetables
with(sheet1, sum_if("Vegetables", category, data = sales)) # 12000
# Sum of sales for food which is ending on 'es'
with(sheet1, sum_if(perl("es$"), food, data = sales)) # 4300
# Sum of sales for empty category
with(sheet1, sum_if(NA, category, data = sales)) # 400
sheet1 = text_to_columns(
"
property_value commission data
100000 7000 250000
200000 14000
300000 21000
400000 28000
"
)
# Commision average for comission less than 23000
with(sheet1, mean_if(lt(23000), commission)) # 14000
# Property value average for property value less than 95000
with(sheet1, mean_if(lt(95000), property_value)) # NaN
# Commision average for property value greater than 250000
with(sheet1, mean_if(gt(250000), property_value, data = commission)) # 24500
sheet1 = text_to_columns(
'
region profits
East 45678
West 23789
North -4789
"South (New Office)" 0
MidWest 9678
',
quote = '"'
)
# Mean profits for 'west' regions
with(sheet1, mean_if(contains("West"), region, data = profits)) # 16733.5
# Mean profits for regions wich doesn't contain New Office
with(sheet1, mean_if(not(contains("New Office")), region, data = profits)) # 18589
sheet1 = text_to_columns(
"
grade weight
89 1
93 2
96 2
85 3
91 1
88 1
"
)
# Minimum grade for weight equals to 1
with(sheet1, min_if(1, weight, data = grade)) # 88
# Maximum grade for weight equals to 1
with(sheet1, max_if(1, weight, data = grade)) #91
# Example with offset
sheet1 = text_to_columns(
"
weight grade
10 b
11 a
100 a
111 b
1 a
1 a
"
)
with(sheet1, min_if("a", grade[2:5], data = weight[1:4])) # 10
```

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