Merge pull request #103 from fhdsl/vizzz

Redo cheatcheets in landscape form -- in case this helps with formatting

modules/cheatsheets/Day-1.md

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 # Day 1 Cheatsheet
 
 ## Intro

modules/cheatsheets/Day-2.md

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 # Day 2 Cheatsheet
 
 ## Basic R

modules/cheatsheets/Day-3.md

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 # Day 3 Cheatsheet
 
 ## Subsetting Data in R
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 | `dplyr`| [`slice_sample(x)`](https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/dim)|`slice_sample(mtcars)`| See a random subset of the rows of `x`|
 | Base `R`| [`data.frame()`](https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/data.frame)| `df <- data.frame(1:3)`| Creates a data frame where the named arguments will be the same length.|
 | Base `R`| [`tibble()`](https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/data.frame)| `tibble(mtcars)`| Creates a tibble from a data.frame or matrix. |
-| `tibble`| [`column_to_rownames()`](https://www.rdocumentation.org/packages/tibble/versions/1.4.2/topics/rownames) | `df <- df %>% column_to_rownames('existing_variable_name')`| Transforms an existing column called by a string into the rownames.|
-| `tibble`| [`rownames_to_column()`](https://www.rdocumentation.org/packages/tibble/versions/1.4.2/topics/rownames)|`df <- df %>% column_to_rownames('new_variable_name')`| Transforms the rownames of a data frame into a column (which is added to the start of the data frame).  The string supplied as an argument will be the name of the new column.|
+| `tibble`| [`column_to_rownames()`](https://www.rdocumentation.org/packages/tibble/versions/1.4.2/topics/rownames) | `df <- df %>% column_to_rownames('old_col')`| Transforms an existing column called by a string into the rownames.|
+| `tibble`| [`rownames_to_column()`](https://www.rdocumentation.org/packages/tibble/versions/1.4.2/topics/rownames)|`df <- df %>% column_to_rownames('new_col')`| Transforms the rownames of a data frame into a column (which is added to the start of the data frame).  The string supplied as an argument will be the name of the new column.|
 | `dplyr`| [`rename()`](https://www.rdocumentation.org/packages/dplyr/versions/0.7.8/topics/select)|`df <- rename(df, MPG = mpg)`| Renames designated columns while keeping all variables of the data.frame |
 | `dplyr`| [`pull()`](https://dplyr.tidyverse.org/reference/pull.html)|`pull(df, 'existing_variable_name')`| Extract a column as a vector |
 | `dplyr`| [`select()`](https://www.rdocumentation.org/packages/dplyr/versions/0.7.8/topics/select)|`select(df, 'existing_variable_name')`| Selects columns that match the specified argument|

modules/cheatsheets/Day-4.md

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 # Day 4 Cheatsheet
 
 ## Data Summarization

modules/cheatsheets/Day-5.md

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 # Day 5 Cheatsheet
 
 ## Data Cleaning

modules/cheatsheets/Day-6.md

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 # Day 6 Cheatsheet
 
 ## Data Manipulation
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 |---------------|-------------|----------------|-------------|
 | `dplyr`| [`separate()`](https://tidyr.tidyverse.org/reference/separate.html)| `df %>% separate(x, c("A", "B"))`| Separate a character column into multiple columns with a regular expression or numeric locations|
 | `dplyr`| [`unite()`](https://tidyr.tidyverse.org/reference/unite.html)| `df %>% unite("z", x:y, remove = FALSE)`| Unite multiple columns together into one column|
-| `tidyr`| [`pivot_longer()`](https://tidyr.tidyverse.org/reference/pivot_longer.html)| `df %>% pivot_longer(!column_to_not_touch, names_to = "new_col_with_labels", values_to = "new_col_with_values")`| Lengthens a data frame by increasing the number of rows and decreasing the number of columns.|
+| `tidyr`| [`pivot_longer()`](https://tidyr.tidyverse.org/reference/pivot_longer.html)| `df %>% pivot_longer(!col_to_keep, names_to = "new_col_with_labels", values_to = "new_col_with_values")`| Lengthens a data frame by increasing the number of rows and decreasing the number of columns.|
 | `tidyr`| [`pivot_wider()`](https://tidyr.tidyverse.org/reference/pivot_wider.html)| `df %>% pivot_wider(names_from = "col_with_names", values_from = "col_with_values")`| Widens a data frame by decreasing the number of rows and increasing the number of columns.|
 | `dplyr`| [`?_join()`](https://www.rdocumentation.org/packages/dplyr/versions/0.7.8/topics/join) | `inner_join(x, y)`| Joins data from two data frames. <br> **inner_join** - only rows that match for x and y are kept. <br> **full_join** - all rows of x and y are kept. <br> **left_join** - all rows of x are kept even if not merged with y. <br> **right_join** - all rows of y are kept even if not merged with x. <br> **anti_join** - all rows from x not in y keeping just columns from x. |
 |Base `R`| [`duplicated()`](https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/duplicated)| `duplicated(x)`| Determines and removes duplicate elements from `x`.|

modules/cheatsheets/Day-7.md

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 # Day 7 Cheatsheet
 
 ## Data Visualization

modules/cheatsheets/Day-8.md

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 # Day 8 Cheatsheet
 
 ## Statistics
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 | Base `R`| [`var.test(x, y)`](http://www.sthda.com/english/wiki/f-test-compare-two-variances-in-r)|`var.test(x, y)`| Compare two variances with Fisher's F-test |
 | Base `R`| [`chisq.test(x, y)`](http://www.sthda.com/english/wiki/f-test-compare-two-variances-in-r)|`chisq.test(x, y)`| Perform chi squared contingency tables and goodness of fit tests |
 | Base `R`| [`lm(x ~ y)`](https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/lm)|`lm(x ~ y, data = df)`| Fit linear models based on a formula you provide. |
-| Base `R` [`summary(x)`](https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/summary)| summary(linear_model_result) | Returns a summary of the values in object, including a linear model or other statistical test. |
+| Base `R`| [`summary(x)`](https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/summary)| summary(linear_model_result) | Returns a summary of the values in object, including a linear model or other statistical test. |
 | Base `R`| [`glm(x ~ y)`](https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/glm)|`glm(x ~ y, data = df, family = binomial())`| Fit generalized linear models based on a formula you provide. Must specify the error distribution and link function using the `family` argument. |
 
 

modules/cheatsheets/Day-9.md

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 # Day 9 Cheatsheet
 
 ## Functions