Add second year
This commit is contained in:
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- #[[ST2001 Labs]]
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- **Previous Topic:** [[Using R as a Calculator]]
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- **Next Topic:** null
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-
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- Most of our computation in R will be using data in table form, with rows & columns, which are often stored as a `data.frame` object.
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- The rows usually represent different *observations*, (e.g., humans, cars, etc.) and the columns represent different *variables* (features of the observation), (e.g., height, weight, etc.).
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-
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- What does `glimpse()` do? #card
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card-last-interval:: -1
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card-repeats:: 1
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card-ease-factor:: 2.5
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card-next-schedule:: 2022-09-19T23:00:00.000Z
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card-last-reviewed:: 2022-09-19T17:43:30.690Z
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card-last-score:: 1
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- The `glimpse()` function gives us an overview of the dataset on each experimental unit.
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- What does `dim()` do? #card
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card-last-interval:: -1
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card-repeats:: 1
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card-ease-factor:: 2.5
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card-next-schedule:: 2022-09-19T23:00:00.000Z
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card-last-reviewed:: 2022-09-19T18:03:27.442Z
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card-last-score:: 1
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- The `dim()` function returns the number of rows & columns in a dataframe.
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-
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@ -0,0 +1,24 @@
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- #[[ST2001 Labs]]
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- **Previous Topic:** [[Using R as a Calculator]]
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- **Next Topic:** null
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-
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- Most of our computation in R will be using data in table form, with rows & columns, which are often stored as a `data.frame` object.
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- The rows usually represent different *observations*, (e.g., humans, cars, etc.) and the columns represent different *variables* (features of the observation), (e.g., height, weight, etc.).
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-
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- What does `glimpse()` do? #card
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card-last-interval:: -1
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card-repeats:: 1
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card-ease-factor:: 2.5
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card-next-schedule:: 2022-09-30T23:00:00.000Z
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card-last-reviewed:: 2022-09-30T09:23:35.496Z
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card-last-score:: 1
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- The `glimpse()` function gives us an overview of the dataset on each experimental unit.
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- What does `dim()` do? #card
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card-last-interval:: -1
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card-repeats:: 1
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card-ease-factor:: 2.5
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card-next-schedule:: 2022-09-30T23:00:00.000Z
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card-last-reviewed:: 2022-09-30T09:23:32.281Z
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card-last-score:: 1
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- The `dim()` function returns the number of rows & columns in a dataframe.
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-
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@ -0,0 +1,24 @@
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- #[[ST2001 Labs]]
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- **Previous Topic:** [[Using R as a Calculator]]
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- **Next Topic:** null
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-
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- Most of our computation in R will be using data in table form, with rows & columns, which are often stored as a `data.frame` object.
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- The rows usually represent different *observations*, (e.g., humans, cars, etc.) and the columns represent different *variables* (features of the observation), (e.g., height, weight, etc.).
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-
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- What does `glimpse()` do? #card
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card-last-interval:: 3.45
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card-repeats:: 2
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card-ease-factor:: 2.6
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card-next-schedule:: 2022-10-10T03:21:42.690Z
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card-last-reviewed:: 2022-10-06T17:21:42.691Z
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card-last-score:: 5
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- The `glimpse()` function gives us an overview of the dataset on each experimental unit.
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- What does `dim()` do? #card
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card-last-interval:: 0.81
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card-repeats:: 2
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card-ease-factor:: 2.36
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card-next-schedule:: 2022-10-09T17:48:26.089Z
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card-last-reviewed:: 2022-10-08T22:48:26.089Z
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card-last-score:: 3
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- The `dim()` function returns the number of rows & columns in a dataframe.
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-
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@ -0,0 +1,24 @@
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- #[[ST2001 Labs]]
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- **Previous Topic:** [[Using R as a Calculator]]
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- **Next Topic:** null
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-
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- Most of our computation in R will be using data in table form, with rows & columns, which are often stored as a `data.frame` object.
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- The rows usually represent different *observations*, (e.g., humans, cars, etc.) and the columns represent different *variables* (features of the observation), (e.g., height, weight, etc.).
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-
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- What does `glimpse()` do? #card
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card-last-interval:: 3.45
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card-repeats:: 2
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card-ease-factor:: 2.6
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card-next-schedule:: 2022-10-10T03:21:42.690Z
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card-last-reviewed:: 2022-10-06T17:21:42.691Z
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card-last-score:: 5
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- The `glimpse()` function gives us an overview of the dataset on each experimental unit.
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- What does `dim()` do? #card
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card-last-interval:: 7.48
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card-repeats:: 3
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card-ease-factor:: 2.46
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card-next-schedule:: 2022-10-17T22:44:50.782Z
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card-last-reviewed:: 2022-10-10T11:44:50.783Z
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card-last-score:: 5
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- The `dim()` function returns the number of rows & columns in a dataframe.
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-
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