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| da <- read.csv("https://raw.githubusercontent.com/juanchiem/agro_data/master/spores.csv", | |
| sep = ";") | |
| da %>% | |
| group_by(meter, spore_nuclei, .drop=FALSE) %>% | |
| summarise(count = mean(count)) %>% | |
| mutate(percent = count/sum(count)) %>% | |
| # group_by(meter, spore_nuclei) %>% | |
| # mutate(tot = sum(count)) | |
| ggplot(aes(x=meter, y=percent, fill=factor(spore_nuclei) ))+ | |
| geom_bar(position="fill", stat="identity")+ |
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| library(tidyverse) | |
| wide <- read.csv("https://raw.githubusercontent.com/juanchiem/agro_data/master/multiple_dis_metric.csv", | |
| sep = ",") %>% as.tibble() | |
| wide | |
| wide %>% | |
| pivot_longer( | |
| cols = contains("_"), | |
| names_to="var", | |
| values_to='val') %>% |
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| df <- tibble::tribble( | |
| ~zona, ~campana, | |
| "Madariaga - Maipu - Ramos Otero", "18-19", | |
| "Balcarce - Loberia - La Brava", "18-19", | |
| "Balcarce - Loberia - La Brava", "20-21", | |
| "MdP - Miramar - Otamendi", "19-20", | |
| "Madariaga - Maipu - Ramos Otero", "19-20", | |
| "Madariaga - Maipu - Ramos Otero", "19-20", | |
| "Madariaga - Maipu - Ramos Otero", "20-21", | |
| "MdP - Miramar - Otamendi", "18-19", |
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| theme_set(cowplot::theme_minimal_grid()+ | |
| theme(legend.position = "bottom", | |
| legend.justification = "center", | |
| legend.title.align = 0.5, | |
| legend.title = element_text(size = 10, face = "bold"), | |
| legend.text = element_text(size = 10), | |
| axis.text.x = element_text(size = 6), | |
| axis.text.y = element_text(size = 6), | |
| axis.title.x = element_text(size=12, face = "bold"), | |
| axis.title.y = element_text(size=12, face = "bold"), |
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| library(tidyverse) | |
| library(sf) | |
| theme_set(theme_bw()+ | |
| theme( | |
| panel.grid.major = element_line(color = gray(0.5), | |
| linetype = "dashed", | |
| size = 0.1), | |
| panel.background = element_rect(fill = "aliceblue"), | |
| axis.text.x = element_text(size = 6), |
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| pacman::p_load(tidyverse, googlesheets4) | |
| gs4_auth(email = "[email protected]") | |
| gs4_find("my_sheet") | |
| #copiar id y establecer acceso | |
| my_sheet <- gs4_get("1b3Zu9CT-B1lHVwkl7wLS_njDQyvwRFYnw_H-OjyO7LA") | |
| #intervalo que deseo los datos | |
| dates <- seq.Date(lubridate::dmy("1-8-2020"), | |
| lubridate::dmy("20-3-2021"), by = "1 day") | |
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| starwars %>% | |
| mutate(across(c("name", "sex"), | |
| ~stringi::stri_trans_general( | |
| #pasar a mayusculas y sacar puntos | |
| str_to_upper(gsub(',', '\\.', | |
| # sacar espacios antes-desp | |
| str_trim( | |
| str_replace_all(., fixed(" "), "_") | |
| ))), "Latin-ASCII"))) |
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| library(zoo) | |
| library(lubridate) | |
| library(ggplot2) | |
| set.seed(49) | |
| dat1 = data.frame(date = seq(as.Date("2015-01-15"), as.Date("2015-12-15"), "1 month"), | |
| value = cumsum(rnorm(12))) | |
| dat1$date = as.yearmon(dat1$date) | |
| dat2 = data.frame(date = seq(as.Date("2016-01-15"), as.Date("2016-12-15"), "1 month"), |
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| dat %>% | |
| filter(str_detect(cultivo_de_cosecha, 'Tr|Ceb')) %>% | |
| select(campana,Zona, cultivo_de_cosecha, variedad,rinde ) %>% | |
| group_by(cultivo_de_cosecha, Zona, variedad) %>% | |
| filter(n() > 5) %>% ungroup %>% | |
| mutate_if(is.character, as.factor) ->dat1 | |
| dat1%>% | |
| count(cultivo_de_cosecha, Zona, variedad) %>% | |
| arrange(cultivo_de_cosecha, desc(n)) |
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| pacman::p_load(tidyverse, googlesheets4) | |
| # Planilla que tiene 2 filas de encabezados (fila 2 y 3), y debemos fusionar. | |
| # La primer fila es una inclusión extra para faciltar el proceso. | |
| u <- "https://docs.google.com/spreadsheets/d/1zf0UqTNiYl7z241Fkr1LtP52D3G9nIzzjyl3zbM8eaU/edit?usp=sharing" | |
| planilla <- gs4_get(u) | |
| # leemos las filas con info para los nombres de las columnas | |
| data_head <- planilla %>% read_sheet(n_max = 2) |