8000 use 'fig' only for plotly and still 'p' for ggplot · plotly/plotly.r-docs@cca31f6 · GitHub
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Commit cca31f6

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author
mahdis-z
committed
use 'fig' only for plotly and still 'p' for ggplot
1 parent 6f1ef9f commit cca31f6

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‎ggplot2/2011-11-29-scale-x.Rmd

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -34,13 +34,13 @@ require(lubridate)
3434
MySample$date <- as.Date(MySample$x, "%m-%d-%y")
3535
MySample$year <- year(MySample$date)
3636
37-
fig <- ggplot(MySample, aes(date, y, fill = year)) +
37+
p <- ggplot(MySample, aes(date, y, fill = year)) +
3838
geom_bar(stat="identity") +
3939
facet_grid(. ~ year, scales = "free") +
4040
scale_x_date(labels = date_format("%b/%y")) +
4141
scale_fill_gradient(breaks=unique(MySample$year))
4242
43-
fig <- ggplotly(fig)
43+
fig <- ggplotly(p)
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fig
4646
```
@@ -65,14 +65,14 @@ df$MonthDay <- format(df$Date, "%d-%b")
6565
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df$CommonDate <- as.Date(paste0("2000-",format(df$Date, "%j")), "%Y-%j")
6767
68-
fig <- ggplot(data = df,
68+
p <- ggplot(data = df,
6969
mapping = aes(x = CommonDate, y = Y, shape = Year, colour = Year)) +
7070
geom_point() +
7171
geom_line() +
7272
facet_grid(facets = Year ~ .) +
7373
scale_x_date(labels = function(x) format(x, "%d-%b"))
7474
75-
fig <- ggplotly(fig)
75+
fig <- ggplotly(p)
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fig
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```

‎ggplot2/2011-11-29-scale-y.Rmd

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -21,11 +21,11 @@ knitr::opts_chunk$set(message = FALSE, warning=FALSE)
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```{r}
2222
library(plotly)
2323
24-
fig <- ggplot(diamonds, aes(color, log10(price))) +
24+
p <- ggplot(diamonds, aes(color, log10(price))) +
2525
geom_boxplot() +
2626
scale_y_continuous("Price, log10-scaling")
2727
28-
fig <- ggplotly(fig)
28+
fig <- ggplotly(p)
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fig
3131
```

‎ggplot2/2016-11-29-aes.Rmd

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -25,11 +25,11 @@ ds <- data.frame(x = 1:10,
2525
group = LETTERS[1:2])
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# Use the fill aesthetic to specify the fill color for the bars
28-
fig <- ggplot(ds, aes(x, y)) +
28+
p <- ggplot(ds, aes(x, y)) +
2929
geom_bar(aes(fill = group), stat = "identity") +
3030
ggtitle("Filled bar chart")
3131
32-
fig <- ggplotly(fig)
32+
fig <- ggplotly(p)
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fig
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```
@@ -53,11 +53,11 @@ group <- c(rep("A", length(x1)),
5353
ds <- data.frame(x, y, group)
5454
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# Use the group aesthetic to ensure lines are drawn separately for each group
56-
fig <- ggplot(ds, aes(x, y)) +
56+
p <- ggplot(ds, aes(x, y)) +
5757
geom_line(aes(group = group, color = group), size = 2) +
5858
ggtitle("Group specific line chart")
5959
60-
fig <- ggplotly(fig)
60+
fig <- ggplotly(p)
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fig
6363
```
@@ -71,12 +71,12 @@ ds <- data.frame(x = rnorm(10),
7171
y = rnorm(10),
7272
group = LETTERS[1:2])
7373
74-
fig <- ggplot(ds, aes(x, y)) +
74+
p <- ggplot(ds, aes(x, y)) +
7575
geom_point(aes(color = group), size = 7) +
7676
geom_text(aes(label = group), size = 4) +
7777
ggtitle("Annotation with labels")
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79-
fig <- ggplotly(fig)
79+
fig <- ggplotly(p)
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fig
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```
@@ -91,12 +91,12 @@ ds <- data.frame(x = letters[1:5],
9191
group = LETTERS[1:4])
9292
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# Use aes shape to map individual points and or different groups to different shapes
94-
fig <- ggplot(ds, aes(x, y)) +
94+
p <- ggplot(ds, aes(x, y)) +
9595
geom_point(aes(color = group, shape = group), size = 5) +
9696
geom_line(aes(group = group, linetype = group)) +
9797
ggtitle("Groupwise shapes and line types")
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99-
fig <- ggplotly(fig)
99+
fig <- ggplotly(p)
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fig
102102
```

‎ggplot2/2016-11-29-axis-text.Rmd

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -23,12 +23,12 @@ set.seed(123)
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df <- diamonds[sample(1:nrow(diamonds), size = 1000),]
2525
26-
fig <- ggplot(df, aes(carat, price, color = color, alpha = cut)) +
26+
p <- ggplot(df, aes(carat, price, color = color, alpha = cut)) +
2727
geom_point() +
2828
theme(axis.text.x = element_text(colour = "#ff6666", size = 20),
2929
axis.text.y = element_text(colour = "#668cff", size = 20))
3030
31-
fig <- ggplotly(fig)
31+
fig <- ggplotly(p)
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fig
3434
```
@@ -41,11 +41,11 @@ set.seed(123)
4141
4242
df <- diamonds[sample(1:nrow(diamonds), size = 1000),]
4343
44-
fig <- ggplot(df, aes(carat, price, color = cut)) +
44+
p <- ggplot(df, aes(carat, price, color = cut)) +
4545
geom_point() +
4646
theme(axis.text = element_blank())
4747
48-
fig <- ggplotly(fig)
48+
fig <- ggplotly(p)
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fig
5151
```
@@ -60,12 +60,12 @@ lab <- paste("Vertical Label", c(1, 2, 3, 4, 5))
6060
ds <- data.frame(x = sample(lab, size = 1000, replace = T),
6161
y = sample(LETTERS[1:5], size = 1000, replace = T))
6262
63-
fig <- ggplot(ds, aes(x = x, fill = y)) +
63+
p <- ggplot(ds, aes(x = x, fill = y)) +
6464
geom_bar() +
6565
theme(axis.text.x = element_text(angle = 90)) +
6666
ggtitle("Vertical Axis Labels")
6767
68-
fig <- ggplotly(fig)
68+
fig <- ggplotly(p)
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fig
7171
```
@@ -80,12 +80,12 @@ lab <- paste("Angle Label", c(1, 2, 3, 4, 5))
8080
ds <- data.frame(x = sample(lab, size = 1000, replace = T),
8181
y = sample(LETTERS[1:5], size = 1000, replace = T))
8282
83-
fig <- ggplot(ds, aes(x = x, fill = y)) +
83+
p <- ggplot(ds, aes(x = x, fill = y)) +
8484
geom_bar() +
8585
theme(axis.text.x = element_text(angle = 45)) +
8686
ggtitle("Angle Axis Labels")
8787
88-
fig <- ggplotly(fig)
88+
fig <- ggplotly(p)
8989
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fig
9191
```

‎ggplot2/2016-11-29-axis-ticks.Rmd

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -23,11 +23,11 @@ set.seed(123)
2323
2424
df <- diamonds[sample(1:nrow(diamonds), size = 1000),]
2525
26-
fig <- ggplot(df, aes(carat, price)) +
26+
p <- ggplot(df, aes(carat, price)) +
2727
geom_point() +
2828
theme(axis.ticks = element_line(size = 10))
2929
30-
fig <- ggplotly(fig)
30+
fig <- ggplotly(p)
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fig
3333
```

‎ggplot2/2016-11-29-axis-title.Rmd

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -24,20 +24,20 @@ set.seed(123)
2424
df <- diamonds[sample(1:nrow(diamonds), size = 1000),]
2525
2626
# To set x-axis and y-axis labels use labs()
27-
fig <- ggplot(df, aes(carat, price)) +
27+
p <- ggplot(df, aes(carat, price)) +
2828
geom_point() +
2929
labs(title = "Diamonds", x = "x-axis -> Carat", y = "y-axis -> Price")
3030
31-
fig <- ggplotly(fig)
31+
fig <- ggplotly(p)
3232
3333
# Alternatively use
34-
fig <- ggplot(df, aes(carat, price)) +
34+
p <- ggplot(df, aes(carat, price)) +
3535
geom_point() +
3636
ggtitle("Diamonds") +
3737
xlab("x-axis -> Carat") +
3838
ylab("y-axis -> Price")
3939
40-
fig <- ggplotly(fig)
40+
fig <- ggplotly(p)
4141
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fig
4343
```
@@ -50,14 +50,14 @@ set.seed(123)
5050
5151
df <- diamonds[sample(1:nrow(diamonds), size = 1000),]
5252
53-
fig <- ggplot(df, aes(carat, price)) +
53+
p <- ggplot(df, aes(carat, price)) +
5454
geom_point() +
5555
labs(title = "Diamonds", x = "x-axis -> Carat", y = "y-axis -> Price") +
5656
theme(plot.title = element_text(size = 50),
5757
axis.title.x = element_text(size = 20),
5858
axis.title.y = element_text(size = 20))
5959
60-
fig <- ggplotly(fig)
60+
fig <- ggplotly(p)
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fig
6363
```
@@ -70,14 +70,14 @@ set.seed(123)
7070
7171
df <- diamonds[sample(1:nrow(diamonds), size = 1000),]
7272
73-
fig <- ggplot(df, aes(carat, price)) +
73+
p <- ggplot(df, aes(carat, price)) +
7474
geom_point() +
7575
labs(title = "Diamonds", x = "x-axis -> Carat", y = "y-axis -> Price") +
7676
theme(plot.title = element_text(size = 50, colour = "#668cff"),
7777
axis.title.x = element_text(size = 20, colour = "#6699ff"),
7878
axis.title.y = element_text(size = 20, colour = "#ff8080"))
7979
80-
fig <- ggplotly(fig)
80+
fig <- ggplotly(p)
8181
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fig
8383
```

‎ggplot2/2016-11-29-facet-grid.Rmd

Lines changed: 19 additions & 19 deletions
Original file line numberDiff line numberDiff line change
@@ -22,12 +22,12 @@ knitr::opts_chunk$set(message = FALSE, warning=FALSE)
2222
library(reshape2)
2323
library(plotly)
2424
25-
fig <- ggplot(tips, aes(x=total_bill, y=tip/total_bill)) + geom_point(shape=1)
25+
p <- ggplot(tips, aes(x=total_bill, y=tip/total_bill)) + geom_point(shape=1)
2626
2727
# Divide by levels of "sex", in the vertical direction
28-
fig <- fig + facet_grid(sex ~ .)
28+
p <- p + facet_grid(sex ~ .)
2929
30-
fig <- ggplotly(fig)
30+
fig <- ggplotly(p)
3131
3232
fig
3333
```
@@ -38,12 +38,12 @@ fig
3838
library(reshape2)
3939
library(plotly)
4040
41-
fig <- ggplot(tips, aes(x=total_bill, y=tip/total_bill)) + geom_point(shape=1)
41+
p <- ggplot(tips, aes(x=total_bill, y=tip/total_bill)) + geom_point(shape=1)
4242
4343
# Divide by levels of "sex", in the horizontal direction
44-
fig <- fig + facet_grid(. ~ sex)
44+
p <- p + facet_grid(. ~ sex)
4545
46-
fig <- ggplotly(fig)
46+
fig <- ggplotly(p)
4747
4848
fig
4949
```
@@ -54,12 +54,12 @@ fig
5454
library(reshape2)
5555
library(plotly)
5656
57-
fig <- ggplot(tips, aes(x=total_bill)) + geom_histogram(binwidth=2,colour="white")
57+
p <- ggplot(tips, aes(x=total_bill)) + geom_histogram(binwidth=2,colour="white")
5858
5959
# Histogram of total_bill, divided by sex and smoker
60-
fig <- fig + facet_grid(sex ~ smoker)
60+
p <- p + facet_grid(sex ~ smoker)
6161
62-
fig <- ggplotly(fig)
62+
fig <- ggplotly(p)
6363
6464
fig
6565
```
@@ -70,12 +70,12 @@ fig
7070
library(reshape2)
7171
library(plotly)
7272
73-
fig <- ggplot(tips, aes(x=total_bill)) + geom_histogram(binwidth=2,colour="white")
73+
p <- ggplot(tips, aes(x=total_bill)) + geom_histogram(binwidth=2,colour="white")
7474
7575
# Same as above, with scales="free_y"
76-
fig <- fig + facet_grid(sex ~ smoker, scales="free_y")
76+
p <- p + facet_grid(sex ~ smoker, scales="free_y")
7777
78-
fig <- ggplotly(fig)
78+
fig <- ggplotly(p)
7979
8080
fig
8181
```
@@ -86,12 +86,12 @@ fig
8686
library(reshape2)
8787
library(plotly)
8888
89-
fig <- ggplot(tips, aes(x=total_bill)) + geom_histogram(binwidth=2,colour="white")
89+
p <- ggplot(tips, aes(x=total_bill)) + geom_histogram(binwidth=2,colour="white")
9090
9191
# With panels that have the same scaling, but different range (and therefore different physical sizes)
92-
fig <- fig + facet_grid(sex ~ smoker, scales="free", space="free")
92+
p <- p + facet_grid(sex ~ smoker, scales="free", space="free")
9393
94-
fig <- ggplotly(fig)
94+
fig <- ggplotly(p)
9595
9696
fig
9797
```
@@ -108,7 +108,7 @@ mymelt <- structure(list(mydate = structure(c(15340, 15340, 15340, 15340, 15340,
108108
myvals <- mymelt[mymelt$mydate == mymelt$mydate[nrow(mymelt)],] ## last date in mymelt should always be same as plotenddate as we subset earlier
109109
mymelt <- within(mymelt, variable <- factor(variable, as.character(myvals[order(myvals$value, decreasing = T),]$variable), ordered = TRUE))
110110
111-
fig <- ggplot(mymelt, aes(x = mydate, y = value)) +
111+
p <- ggplot(mymelt, aes(x = mydate, y = value)) +
112112
geom_line(lwd=0.3) +
113113
facet_grid(. ~ variable) +
114114
theme(axis.text.x = element_text(size = 5, angle = 90),
@@ -117,7 +117,7 @@ fig <- ggplot(mymelt, aes(x = mydate, y = value)) +
117117
axis.ticks = element_blank(),
118118
panel.grid.minor = element_blank())
119119
120-
fig <- ggplotly(fig)
120+
fig <- ggplotly(p)
121121
122122
fig
123123
```
@@ -137,11 +137,11 @@ value <- c(sample(1:10, size=365, replace=T),sample(1:3, size=365, replace=T),
137137
sample(1:100, size=365, replace=T))
138138
dat<-data.frame(date,location,product,value)
139139
140-
fig <- ggplot(dat, aes(x=date, y=value, color=location, group=location)) +
140+
p <- ggplot(dat, aes(x=date, y=value, color=location, group=location)) +
141141
geom_line()+
142142
facet_grid(product ~ ., scale = "free_y")
143143
144-
fig <- ggplotly(fig)
144+
fig <- ggplotly(p)
145145
146146
fig
147147
```

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