To count the value in column with condition in R, you can use two different ways one is using **nrow()** function and other is using **summarise()** function from **dplyr** package.

The following methods show how you can do it with syntax.

**Method 1: Use nrow() Function**

```
nrow(df[df$column_name == value, ])
```

**Method 2: Use summarise() Function**

```
df %>%
filter(column_name == value) %>%
summarise(count = n())
```

The following examples show how to count value in column with condition in R.

## Count Values in Column with Condition Using nrow() Function in R

Let’s see how we can use nrow() function to count value in column based on condition:

```
# Create data frame
df <- data.frame(Machine_name=c("A","B","C","D","E","F","G","H","A","B","A","C","D","B","E","H"),
Pressure=c(12.39,11.25,12.15,13.48,13.78,12.89,12.21,12.58,9.6,8.85,7.89,10.24,12.36,11.45,9.47,8.12),
Status=c("OK","Suspect","OK","OK","Suspect","Suspect","Suspect","OK","OK","OK","OK","OK","Suspect","Suspect","Suspect","OK"))
# Apply condition on single column of data frame
nrow(df[df$Status == 'Suspect', ])
```

Output:

```
[1] 7
```

Here the output shows count for *Suspect* value in *Status* column of data frame.

## Count Values in Column with Condition Using smmarise() Function in R

Let’s see how we can use **summarise()** function to count values in columns with condition in R:

```
library(dplyr)
# Create data frame
df <- data.frame(Machine_name=c("A","B","C","D","E","F","G","H","A","B","A","C","D","B","E","H"),
Pressure=c(12.39,11.25,12.15,13.48,13.78,12.89,12.21,12.58,9.6,8.85,7.89,10.24,12.36,11.45,9.47,8.12),
Status=c("OK","Suspect","OK","OK","Suspect","Suspect","Suspect","OK","OK","OK","OK","OK","Suspect","Suspect","Suspect","OK"))
# Count values in Status where Status is "Suspect"
result <- df %>%
filter(Status == "Suspect") %>%
summarise(count = n())
# Show count
print(result)
```

Output:

```
count
1 7
```

Here the output shows count 7 for *Suspect* values in *Status* column of data frame.